Journal of Applied Research and Technology, Aug 1, 2010
How to cite Complete issue More information about this article Journal's homepage in redalyc.org ... more How to cite Complete issue More information about this article Journal's homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative
Abstract A third generation control software system for turbogas power units, in a series of mode... more Abstract A third generation control software system for turbogas power units, in a series of modernization projects, is presented. Main objective was to reduce the complexity of its predecessors, to facilitate the integration of new control strategies to enhance the unit’s performance. The automation, control and protection functions performed by previous generations served as requirement specifications. Adaptation of a generalized functional structure for industrial process control in defining the control system software architecture became the project key point. Real-time structured design, and programming lead to the desired higher quality system. Successful integration of a fuzzy speed controller fulfilled the objective.
Development of control systems for power plants must demonstrate satisfactory real-time performan... more Development of control systems for power plants must demonstrate satisfactory real-time performance in both, the development and the target platforms, before going into actual operation. This paper presents the tuning procedure of a four-loop cascaded control scheme for a gas-turbine driven electric generator, and the real-time performance evaluation, against a conventional three-loop control scheme, when controlling speed (ω), terminal voltage (V), active power (P) and reactive power (Q). The cascaded-scheme considers parallel-cascaded and series-cascaded configurations using Pω and VQ control couples for the turbine and the generator, respectively. The proposed control scheme, based on discrete-time PID controllers, is compared to a conventional Pω-V control scheme by means of real-time simulation experiments in a PC-based development platform. Simulations are carried out at the start-up, synchronization and generation stages. Results show that the four-loop Pω-VQ parallel-series ...
To deal with the nonlinear multi-variable and multiple control objective characteristic of power ... more To deal with the nonlinear multi-variable and multiple control objective characteristic of power plant, the power plant multiagent control system (PPMACS) is designed. In the PPMACS, the feedforward control agents (FFCAs) make decisions using the neuro-fuzzy systems and the feedback control agents (FBCAs) make decisions using the genetic algorithm-based fuzzy \{systems\}. The optimal task decomposition agents (OTDAs) optimally decompose the task of the PPMACS through an optimization agent and a decomposition agent. The coordinator agent (COA) coordinates the agents in the PPMACS according to different \{operating\} conditions. Simulation results demonstrate that the PPMACS implement the multiobjective operation and wide range load tracking.Neural netwroks,fuzzy logic and genetic algorithm are effective tools for the agents of the PPMACS in making decisions.
2007 International Conference on Intelligent Systems Applications to Power Systems, 2007
Mostly during wide-range operation, load-following capability and efficacy for frequency regulati... more Mostly during wide-range operation, load-following capability and efficacy for frequency regulation of fossil-fuel power plants may be affected by interaction among the control loops, caused by the non-linear coupled plant dynamics. This paper introduces a fuzzy gain-scheduling decoupling control scheme to improve plant response under large power excursions throughout the power plant operating space. The control scheme consists of single-loop PID controllers in series with an inverse interaction compensator. Both, the controllers and compensator are gain-scheduled with fuzzy systems to embrace the entire operating space. The proposed control scheme is evaluated through simulation experiments. Results show improved widerange operation.
Transactions of the Institute of Measurement and Control, 2002
This paper presents an overall control scheme for wide-range multiobjective-optimal operation of ... more This paper presents an overall control scheme for wide-range multiobjective-optimal operation of a fossil-fuel power unit. The scheme provides the means to accommodate operating scenarios characterized by multiple operating requirements, and to attain optimal operation along any arbitrary unit load-demand pattern. The proposed strategy builds upon current co-ordinated control schemes, which typically account for simultaneous control of power and steam pressure. First, the scope of co-ordination over the internal processes of the unit is extended by including the control of the drum water level to achieve balanced overall plant operation at all loads. Then, a supervisory reference governor and a neuro-fuzzy feedforward control path are added to complement the already existing multiloop feedback control configuration. The reference governor implements a set-point scheduler based on unit load demand to set-point mappings, which are designed by solving a multiple objective optimization ...
2009 15th International Conference on Intelligent System Applications to Power Systems, 2009
ABSTRACT This paper presents two feasible realizations of 2-DOF wide-range speed control schemes ... more ABSTRACT This paper presents two feasible realizations of 2-DOF wide-range speed control schemes for combustion turbogenerators. These schemes allow independent tuning of the reference tracking and disturbance rejection characteristics of the control system. The fuzzy approach extends these characteristics throughout the operating space of the combustion turbogenerator. Both realizations can be inserted into the speed control loop of existing control systems without degrading performance until the control system is fine tuned. The controllers can be progressively tuned on-site based on the inspection of current responses. The proposed 2-DOF fuzzy control schemes are suitable for application on actual power plants.
Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems
Speed control during startup is one of the most critical tasks of gas turbine power plant operati... more Speed control during startup is one of the most critical tasks of gas turbine power plant operation. This paper introduces the PI fuzzy gain-scheduling (PI-FGS) controller to solve the foremost speed control problems, including tracking of the acceleration pattern and rejection of disturbances caused by operation events throughout startup. Fundamentally, the PI-FGS synthesizes a gain-scheduling controller from multiple locally-tuned generalized PI algorithms by means of a fuzzy system. The PI-FGS structure permits independent tuning of the tracking and rejection responses at any operating point. In addition, tuning can be carried out on-site based on the operator experience and inspection of the current plant response. Simulation experiments show that the PI-FGS may improve speed control performance well over that provided by commercially available speed controllers, which are based on a single conventional PI algorithm
Proceedings of the 17th IFAC World Congress, 2008, 2008
This paper introduces a compensation scheme for power-voltage interaction in a gas turbine driven... more This paper introduces a compensation scheme for power-voltage interaction in a gas turbine driven power plant. The compensation scheme includes two fuzzy systems. The first fuzzy system compensates the effects of a change in voltage set-point over the power control loop. Complementarily, the second fuzzy system diminishes the effects of a change in power set-point over the voltage control loop. The compensation rules are basically obtained from the analysis of input-output interactions between the gas turbine and the electric generator. Rules are refined through simulation experiments using the full scope model of a 32 MVA combustion turbogenerator. Results show the appropriateness of the proposed fuzzy compensation scheme.
2006 IEEE Power Engineering Society General Meeting, 2006
ABSTRACT Development of comprehensive intelligent systems to achieve total power plant autonomy a... more ABSTRACT Development of comprehensive intelligent systems to achieve total power plant autonomy at once is a formidable task, for which no guarantee of success in performance, time and budget exists. Instead, it is proposed to develop small-scale intelligent systems, tailored to specific supervisory applications, which could be eventually integrated into larger systems to incrementally achieve plant autonomy. This paper presents a low-cost general-purpose platform to develop such industrial-grade intelligent supervisory systems. Major issues solved include selection of: a) the generic functions to be performed by the system to achieve the desired autonomy, b) the paradigm to merge the generic functions to attain coherent behavior in the intelligent system domain, c) the AI and CI software tools best suited to program the generic functions as software agents, and d) the software platform to integrate the intelligent system software agents, As an example, an intelligent supervisory system for a gas turbogenerator is also presented
IEEE Power Engineering Society General Meeting, 2004.
ABSTRACT This paper proposes an architecture of a multi-agent system applied to a fossil fuel pow... more ABSTRACT This paper proposes an architecture of a multi-agent system applied to a fossil fuel power unit (FFPU). An agent-based approach has been dealt in this paper for the entire control system applied to the plant, and simulations demonstrate the usefulness of this multi-agent approach. The model consists of a central agent (CA), set-point agent (SA), feedforward agent (FeFA), feedback agent (FeBA), limiter & scaling agent (LSA), and threat/emergency agent (TA). The communication protocols for the agents are defined in finite state machine theory, and Matlab/Simulink/Stateflow is used to simulate these communication protocols. The overall performance of this system is robust and adaptable. The CA is the key agent sending the message requests to different agents and monitoring their status for an efficient operation of the plant at different operating regions
2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194), 2001
... In addition, actual CC realizations show complementary feedforward compensation schemes to en... more ... In addition, actual CC realizations show complementary feedforward compensation schemes to enhance the basic scheme by reducing control ... The ability of the control system to deal with the changing dynamics of the process is very attractive for ... In [30] a feedforward-feedback ...
IEEE Power Engineering Society General Meeting, 2005
The Coordinate Control Scheme (CCS) requires references to provide control inputs to a power plan... more The Coordinate Control Scheme (CCS) requires references to provide control inputs to a power plant. The references are obtained by mapping the unit load demand to pressure set-point. In order to achieve the optimal power plant operation, the mapping should be optimized under a dynamic environment by considering the multiobjectives of the power system. In this paper, the multiobjective optimal power plant operation will be realized through the on-line optimal mapping between the dynamic unit load demand and pressure set-point using a modern heuristic method, the Particle Swarm Optimization (PSO). The multiobjective optimization is performed in the reference governor of a Fossil Fuel Power Unit (FFPU). Moreover, variations of the PSO technique, such as Hybrid PSO (HPSO), Evolutionary PSO (EPSO), and Constriction Factor Approach (CFA), will be introduced and the comparison will be made on the dynamic multiobjective optimization of a power plant.
2009 Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2009
ABSTRACT A gain-scheduling control scheme produces a nonlinear global controller from a series of... more ABSTRACT A gain-scheduling control scheme produces a nonlinear global controller from a series of local controllers tuned at specific operation points. A major problem on the design of gain scheduling controllers is the design and implementation of the switching logic to have a smooth plant response all over the operation range. This point is solved with the application of fuzzy logic, which maintains advantages of gain scheduling strategy for nonlinear process control. In this paper three well-known PI/PID gain scheduling fuzzy controller design approaches were analyzed and the advantages and disadvantages of the interpolation mechanism of each of them were analyzed.
This paper is concerned with the formulation of a process knowledge based controller (PKBC) for m... more This paper is concerned with the formulation of a process knowledge based controller (PKBC) for maneuverability improvement of nonlinear processes operation. The capacity for empirical knowledge acquisition from artificial intelligence systems was utilized in the development of the strategy. The PKBC is a neuro-fuzzy system obtained from process data. The GT 5001 type is the selected nonlinear process, for speed control during startup operation, where the GT has to follow a specific speed path that imposes tight regulation requirements for the control system, including fast response and precision. The proposed control strategy is a feedforwardfeedback one. In the feedback path a PID controller is used. In the feedforward path a PKBC provides most of the control signal for wide-range operation, diminishing the control effort on the PID controller. Simulation tests were carried on a dynamic mathematical model of the GT, and demonstrate the maneuverability improvement concerning the startup speed response.
Page 1. Nonlinear compensation to enhance the input dynamic range in analog optical fiber links f... more Page 1. Nonlinear compensation to enhance the input dynamic range in analog optical fiber links for the high current short circuit test This article has been downloaded from IOPscience. Please scroll down to see the full text article. 2010 Meas. Sci. Technol. 21 065101 ...
Speed control during startup is one of the most critical tasks of gas turbine power plant operati... more Speed control during startup is one of the most critical tasks of gas turbine power plant operation. This paper introduces the PI fuzzy gain-scheduling (PI-FGS) controller to solve the foremost speed-control problems, including tracking of the acceleration pattern and rejection of disturbances caused by operation events throughout startup. Fundamentally, the PI-FGS synthesizes a GS controller from multiple locally tuned generalized proportional integral (PI) algorithms by means of a fuzzy system. The PI-FGS structure permits independent tuning of the tracking and rejection responses at any operating point. In addition, tuning can be carried out on-site based on the operator experience and inspection of the current plant response. Simulation experiments show that the PI-FGS may improve speed-control performance well over that provided by commercially available speed controllers, which are based on a single conventional PI algorithm.
Multiobjective optimal power plant operation requires an optimal mapping between unit load demand... more Multiobjective optimal power plant operation requires an optimal mapping between unit load demand and pressure set-point in a Fossil Fuel Power Unit (FFPU). In general, the optimization problem with varying unit load demand cannot be solved using a fixed nonlinear mapping. This paper presents a modern heuristic method, Particle Swarm Optimization (PSO), to realize the optimal mapping by searching the best solution to the multiobjective optimization problem, where the objective functions are given with preferences. This optimization procedure is used to design the reference governor for the control system. The approach provides the means to specify optimal set-points for controllers under a diversity of operating scenarios. Moreover, the PSO makes it possible for the optimization process to be implemented on-line in the operation of the FFPU.
Multiobjective optimal power plant operation requires an optimal mapping between unit load demand... more Multiobjective optimal power plant operation requires an optimal mapping between unit load demand and pressure set point in a fossil fuel power unit (FFPU). In general, the optimization problem with varying unit load demand cannot be solved using a fixed nonlinear mapping. This paper presents a modern heuristic method, particle swarm optimization (PSO), to realize the optimal mapping by searching for the best solution to the multiobjective optimization problem, where the objective functions are given with preferences. This optimization procedure is used to design the reference governor for the control system. This approach provides the means to specify optimal set points for controllers under a diversity of operating scenarios. Variations of the PSO technique, hybrid PSO, evolutionary PSO, and constriction factor approach are applied to the FFPU, and the comparison is made among the PSO techniques and genetic algorithm.
Journal of Applied Research and Technology, Aug 1, 2010
How to cite Complete issue More information about this article Journal's homepage in redalyc.org ... more How to cite Complete issue More information about this article Journal's homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative
Abstract A third generation control software system for turbogas power units, in a series of mode... more Abstract A third generation control software system for turbogas power units, in a series of modernization projects, is presented. Main objective was to reduce the complexity of its predecessors, to facilitate the integration of new control strategies to enhance the unit’s performance. The automation, control and protection functions performed by previous generations served as requirement specifications. Adaptation of a generalized functional structure for industrial process control in defining the control system software architecture became the project key point. Real-time structured design, and programming lead to the desired higher quality system. Successful integration of a fuzzy speed controller fulfilled the objective.
Development of control systems for power plants must demonstrate satisfactory real-time performan... more Development of control systems for power plants must demonstrate satisfactory real-time performance in both, the development and the target platforms, before going into actual operation. This paper presents the tuning procedure of a four-loop cascaded control scheme for a gas-turbine driven electric generator, and the real-time performance evaluation, against a conventional three-loop control scheme, when controlling speed (ω), terminal voltage (V), active power (P) and reactive power (Q). The cascaded-scheme considers parallel-cascaded and series-cascaded configurations using Pω and VQ control couples for the turbine and the generator, respectively. The proposed control scheme, based on discrete-time PID controllers, is compared to a conventional Pω-V control scheme by means of real-time simulation experiments in a PC-based development platform. Simulations are carried out at the start-up, synchronization and generation stages. Results show that the four-loop Pω-VQ parallel-series ...
To deal with the nonlinear multi-variable and multiple control objective characteristic of power ... more To deal with the nonlinear multi-variable and multiple control objective characteristic of power plant, the power plant multiagent control system (PPMACS) is designed. In the PPMACS, the feedforward control agents (FFCAs) make decisions using the neuro-fuzzy systems and the feedback control agents (FBCAs) make decisions using the genetic algorithm-based fuzzy \{systems\}. The optimal task decomposition agents (OTDAs) optimally decompose the task of the PPMACS through an optimization agent and a decomposition agent. The coordinator agent (COA) coordinates the agents in the PPMACS according to different \{operating\} conditions. Simulation results demonstrate that the PPMACS implement the multiobjective operation and wide range load tracking.Neural netwroks,fuzzy logic and genetic algorithm are effective tools for the agents of the PPMACS in making decisions.
2007 International Conference on Intelligent Systems Applications to Power Systems, 2007
Mostly during wide-range operation, load-following capability and efficacy for frequency regulati... more Mostly during wide-range operation, load-following capability and efficacy for frequency regulation of fossil-fuel power plants may be affected by interaction among the control loops, caused by the non-linear coupled plant dynamics. This paper introduces a fuzzy gain-scheduling decoupling control scheme to improve plant response under large power excursions throughout the power plant operating space. The control scheme consists of single-loop PID controllers in series with an inverse interaction compensator. Both, the controllers and compensator are gain-scheduled with fuzzy systems to embrace the entire operating space. The proposed control scheme is evaluated through simulation experiments. Results show improved widerange operation.
Transactions of the Institute of Measurement and Control, 2002
This paper presents an overall control scheme for wide-range multiobjective-optimal operation of ... more This paper presents an overall control scheme for wide-range multiobjective-optimal operation of a fossil-fuel power unit. The scheme provides the means to accommodate operating scenarios characterized by multiple operating requirements, and to attain optimal operation along any arbitrary unit load-demand pattern. The proposed strategy builds upon current co-ordinated control schemes, which typically account for simultaneous control of power and steam pressure. First, the scope of co-ordination over the internal processes of the unit is extended by including the control of the drum water level to achieve balanced overall plant operation at all loads. Then, a supervisory reference governor and a neuro-fuzzy feedforward control path are added to complement the already existing multiloop feedback control configuration. The reference governor implements a set-point scheduler based on unit load demand to set-point mappings, which are designed by solving a multiple objective optimization ...
2009 15th International Conference on Intelligent System Applications to Power Systems, 2009
ABSTRACT This paper presents two feasible realizations of 2-DOF wide-range speed control schemes ... more ABSTRACT This paper presents two feasible realizations of 2-DOF wide-range speed control schemes for combustion turbogenerators. These schemes allow independent tuning of the reference tracking and disturbance rejection characteristics of the control system. The fuzzy approach extends these characteristics throughout the operating space of the combustion turbogenerator. Both realizations can be inserted into the speed control loop of existing control systems without degrading performance until the control system is fine tuned. The controllers can be progressively tuned on-site based on the inspection of current responses. The proposed 2-DOF fuzzy control schemes are suitable for application on actual power plants.
Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems
Speed control during startup is one of the most critical tasks of gas turbine power plant operati... more Speed control during startup is one of the most critical tasks of gas turbine power plant operation. This paper introduces the PI fuzzy gain-scheduling (PI-FGS) controller to solve the foremost speed control problems, including tracking of the acceleration pattern and rejection of disturbances caused by operation events throughout startup. Fundamentally, the PI-FGS synthesizes a gain-scheduling controller from multiple locally-tuned generalized PI algorithms by means of a fuzzy system. The PI-FGS structure permits independent tuning of the tracking and rejection responses at any operating point. In addition, tuning can be carried out on-site based on the operator experience and inspection of the current plant response. Simulation experiments show that the PI-FGS may improve speed control performance well over that provided by commercially available speed controllers, which are based on a single conventional PI algorithm
Proceedings of the 17th IFAC World Congress, 2008, 2008
This paper introduces a compensation scheme for power-voltage interaction in a gas turbine driven... more This paper introduces a compensation scheme for power-voltage interaction in a gas turbine driven power plant. The compensation scheme includes two fuzzy systems. The first fuzzy system compensates the effects of a change in voltage set-point over the power control loop. Complementarily, the second fuzzy system diminishes the effects of a change in power set-point over the voltage control loop. The compensation rules are basically obtained from the analysis of input-output interactions between the gas turbine and the electric generator. Rules are refined through simulation experiments using the full scope model of a 32 MVA combustion turbogenerator. Results show the appropriateness of the proposed fuzzy compensation scheme.
2006 IEEE Power Engineering Society General Meeting, 2006
ABSTRACT Development of comprehensive intelligent systems to achieve total power plant autonomy a... more ABSTRACT Development of comprehensive intelligent systems to achieve total power plant autonomy at once is a formidable task, for which no guarantee of success in performance, time and budget exists. Instead, it is proposed to develop small-scale intelligent systems, tailored to specific supervisory applications, which could be eventually integrated into larger systems to incrementally achieve plant autonomy. This paper presents a low-cost general-purpose platform to develop such industrial-grade intelligent supervisory systems. Major issues solved include selection of: a) the generic functions to be performed by the system to achieve the desired autonomy, b) the paradigm to merge the generic functions to attain coherent behavior in the intelligent system domain, c) the AI and CI software tools best suited to program the generic functions as software agents, and d) the software platform to integrate the intelligent system software agents, As an example, an intelligent supervisory system for a gas turbogenerator is also presented
IEEE Power Engineering Society General Meeting, 2004.
ABSTRACT This paper proposes an architecture of a multi-agent system applied to a fossil fuel pow... more ABSTRACT This paper proposes an architecture of a multi-agent system applied to a fossil fuel power unit (FFPU). An agent-based approach has been dealt in this paper for the entire control system applied to the plant, and simulations demonstrate the usefulness of this multi-agent approach. The model consists of a central agent (CA), set-point agent (SA), feedforward agent (FeFA), feedback agent (FeBA), limiter & scaling agent (LSA), and threat/emergency agent (TA). The communication protocols for the agents are defined in finite state machine theory, and Matlab/Simulink/Stateflow is used to simulate these communication protocols. The overall performance of this system is robust and adaptable. The CA is the key agent sending the message requests to different agents and monitoring their status for an efficient operation of the plant at different operating regions
2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194), 2001
... In addition, actual CC realizations show complementary feedforward compensation schemes to en... more ... In addition, actual CC realizations show complementary feedforward compensation schemes to enhance the basic scheme by reducing control ... The ability of the control system to deal with the changing dynamics of the process is very attractive for ... In [30] a feedforward-feedback ...
IEEE Power Engineering Society General Meeting, 2005
The Coordinate Control Scheme (CCS) requires references to provide control inputs to a power plan... more The Coordinate Control Scheme (CCS) requires references to provide control inputs to a power plant. The references are obtained by mapping the unit load demand to pressure set-point. In order to achieve the optimal power plant operation, the mapping should be optimized under a dynamic environment by considering the multiobjectives of the power system. In this paper, the multiobjective optimal power plant operation will be realized through the on-line optimal mapping between the dynamic unit load demand and pressure set-point using a modern heuristic method, the Particle Swarm Optimization (PSO). The multiobjective optimization is performed in the reference governor of a Fossil Fuel Power Unit (FFPU). Moreover, variations of the PSO technique, such as Hybrid PSO (HPSO), Evolutionary PSO (EPSO), and Constriction Factor Approach (CFA), will be introduced and the comparison will be made on the dynamic multiobjective optimization of a power plant.
2009 Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2009
ABSTRACT A gain-scheduling control scheme produces a nonlinear global controller from a series of... more ABSTRACT A gain-scheduling control scheme produces a nonlinear global controller from a series of local controllers tuned at specific operation points. A major problem on the design of gain scheduling controllers is the design and implementation of the switching logic to have a smooth plant response all over the operation range. This point is solved with the application of fuzzy logic, which maintains advantages of gain scheduling strategy for nonlinear process control. In this paper three well-known PI/PID gain scheduling fuzzy controller design approaches were analyzed and the advantages and disadvantages of the interpolation mechanism of each of them were analyzed.
This paper is concerned with the formulation of a process knowledge based controller (PKBC) for m... more This paper is concerned with the formulation of a process knowledge based controller (PKBC) for maneuverability improvement of nonlinear processes operation. The capacity for empirical knowledge acquisition from artificial intelligence systems was utilized in the development of the strategy. The PKBC is a neuro-fuzzy system obtained from process data. The GT 5001 type is the selected nonlinear process, for speed control during startup operation, where the GT has to follow a specific speed path that imposes tight regulation requirements for the control system, including fast response and precision. The proposed control strategy is a feedforwardfeedback one. In the feedback path a PID controller is used. In the feedforward path a PKBC provides most of the control signal for wide-range operation, diminishing the control effort on the PID controller. Simulation tests were carried on a dynamic mathematical model of the GT, and demonstrate the maneuverability improvement concerning the startup speed response.
Page 1. Nonlinear compensation to enhance the input dynamic range in analog optical fiber links f... more Page 1. Nonlinear compensation to enhance the input dynamic range in analog optical fiber links for the high current short circuit test This article has been downloaded from IOPscience. Please scroll down to see the full text article. 2010 Meas. Sci. Technol. 21 065101 ...
Speed control during startup is one of the most critical tasks of gas turbine power plant operati... more Speed control during startup is one of the most critical tasks of gas turbine power plant operation. This paper introduces the PI fuzzy gain-scheduling (PI-FGS) controller to solve the foremost speed-control problems, including tracking of the acceleration pattern and rejection of disturbances caused by operation events throughout startup. Fundamentally, the PI-FGS synthesizes a GS controller from multiple locally tuned generalized proportional integral (PI) algorithms by means of a fuzzy system. The PI-FGS structure permits independent tuning of the tracking and rejection responses at any operating point. In addition, tuning can be carried out on-site based on the operator experience and inspection of the current plant response. Simulation experiments show that the PI-FGS may improve speed-control performance well over that provided by commercially available speed controllers, which are based on a single conventional PI algorithm.
Multiobjective optimal power plant operation requires an optimal mapping between unit load demand... more Multiobjective optimal power plant operation requires an optimal mapping between unit load demand and pressure set-point in a Fossil Fuel Power Unit (FFPU). In general, the optimization problem with varying unit load demand cannot be solved using a fixed nonlinear mapping. This paper presents a modern heuristic method, Particle Swarm Optimization (PSO), to realize the optimal mapping by searching the best solution to the multiobjective optimization problem, where the objective functions are given with preferences. This optimization procedure is used to design the reference governor for the control system. The approach provides the means to specify optimal set-points for controllers under a diversity of operating scenarios. Moreover, the PSO makes it possible for the optimization process to be implemented on-line in the operation of the FFPU.
Multiobjective optimal power plant operation requires an optimal mapping between unit load demand... more Multiobjective optimal power plant operation requires an optimal mapping between unit load demand and pressure set point in a fossil fuel power unit (FFPU). In general, the optimization problem with varying unit load demand cannot be solved using a fixed nonlinear mapping. This paper presents a modern heuristic method, particle swarm optimization (PSO), to realize the optimal mapping by searching for the best solution to the multiobjective optimization problem, where the objective functions are given with preferences. This optimization procedure is used to design the reference governor for the control system. This approach provides the means to specify optimal set points for controllers under a diversity of operating scenarios. Variations of the PSO technique, hybrid PSO, evolutionary PSO, and constriction factor approach are applied to the FFPU, and the comparison is made among the PSO techniques and genetic algorithm.
Uploads
Papers by Raúl Garduño