International Conference on Aerospace Sciences & Aviation Technology, Apr 1, 2017
Due to the increasing complexity in systems development as well the highly competitive environmen... more Due to the increasing complexity in systems development as well the highly competitive environment, it has become apparent that new ways of reducing system development time, minimize cost, enhance organizational efficiency, increase customer satisfaction, and improve the quality of the final systems are required. The Transdisciplinary Quality System development lifecycle (TQSDL) Model is one of the new systematic approaches models used as a design management tool for developing the complex systems based on scientific principles. This model is applied across the whole systems development lifecycle. The model processes are based on the Axiomatic Design (AD) and Quality Function Deployment (QFD) tool. One of the factors that influence the quality and the cost of the final systems is the supply chain. Also, one of the largest difficulties during the development of complex systems is tracking and expecting the changes in development cost due to changes in customer needs or function requirements. In this paper, the TQSDL model is extended to cover the supply chain process by adding a new domain to TQSDL domains. This new domain is introduced to manage the relationships between system components and all suppliers by using the QFD tool. As well as, Dependency Structure Matrix (DSM) will be integrated into the TQSDL process to improve information management and to address the interdependency between the system components and the interrelation between activities during systems development. Moreover, DSM with a new characteristic vector will aid to capture the changes in the development cost due to the changes in customer needs or function requirements. The enhancement in TQSDL model aims to provide a complete framework and systematic thinking to the designers and technical managers during the whole system development lifecycle. Moreover, it will also support the decision makers on whether or not to implement changes to a design.
Zenodo (CERN European Organization for Nuclear Research), Jan 13, 2017
The successful realization of complex systems is dependent not only on the technology issues and ... more The successful realization of complex systems is dependent not only on the technology issues and the process for implementing them, but on the management issues as well. Managing the systems development lifecycle requires technical management. Systems engineering management is the technical management. Systems engineering management is accomplished by incorporating many activities. The three major activities are development phasing, systems engineering process and lifecycle integration. Systems engineering management activities are performed across the system development lifecycle. Due to the ever-increasing complexity of systems as well the difficulty of managing and tracking the development activities, new ways to achieve systems engineering management activities are required. This paper presents a systematic approach used as a design management tool applied across systems engineering management roles. In this approach, Transdisciplinary System Development Lifecycle (TSDL) Model has been modified and integrated with Quality Function Deployment. Hereinafter, the name of the systematic approach is the Transdisciplinary Quality System Development Lifecycle (TQSDL) Model. The QFD translates the voice of customers (VOC) into measurable technical characteristics. The modified TSDL model is based on Axiomatic Design developed by Suh which is applicable to all designs: products, processes, systems and organizations. The TQSDL model aims to provide a robust structure and systematic thinking to support the implementation of systems engineering management roles. This approach ensures that the customer requirements are fulfilled as well as satisfies all the systems engineering manager roles and activities.
Developing a space system is a challenge which includes risk that increases with the lack of prac... more Developing a space system is a challenge which includes risk that increases with the lack of practical experience especially for a new player in space industry. A concurrent design facility (CDF) with especially tailored work stations can lower the risk of lack of experience through increasing the team interaction as additive experience and decrease over design budgets generated by designers as a result of over protective measures which leads to the infeasibility of the project. It has been demonstrated that CDF approach has proved to minimize cost and time of conceptual design, increasing possibility of studying all possible technical resolutions and exploring different architectures to find the most appropriate architecture for each mission meeting time, cost and risk constrains and also satisfying the customer who already participates during conceptual design phase. Establishing concurrent design facility (CDF) for developing countries newly introduced to space industry has great importance. With the proper organizational assembly and especially tailored workstations developing countries would have the chance to start accomplishing strong steps in designing a feasible space missions. In this paper a survey of existing concurrent design facilities (CDF) and the modifications conducted and recommended to achieve optimum risk and cost to make the facility a valuable asset for emerging countries is presented.
The successful realization of complex systems is dependent not only on the technology issues and ... more The successful realization of complex systems is dependent not only on the technology issues and the process for implementing them, but on the management issues as well. Managing the systems development lifecycle requires technical management. Systems engineering management is the technical management. Systems engineering management is accomplished by incorporating many activities. The three major activities are development phasing, systems engineering process and lifecycle integration. Systems engineering management activities are performed across the system development lifecycle. Due to the ever-increasing complexity of systems as well the difficulty of managing and tracking the development activities, new ways to achieve systems engineering management activities are required. This paper presents a systematic approach used as a design management tool applied across systems engineering management roles. In this approach, Transdisciplinary System Development Lifecycle (TSDL) Model h...
Journal of Engineering Science and Military Technologies, 2017
Due to the increasing complexity in systems development as well the highly competitive environmen... more Due to the increasing complexity in systems development as well the highly competitive environment, it has become apparent that new ways of reducing system development time, minimize cost, enhance organizational efficiency, increase customer satisfaction, and improve the quality of the final systems are required. The Transdisciplinary Quality System development lifecycle (TQSDL) Model is one of the new systematic approaches models used as a design management tool for developing the complex systems based on scientific principles. This model is applied across the whole systems development lifecycle. The model processes are based on the Axiomatic Design (AD) and Quality Function Deployment (QFD) tool. One of the factors that influence the quality and the cost of the final systems is the supply chain. Also, one of the largest difficulties during the development of complex systems is tracking and expecting the changes in development cost due to changes in customer needs or function requirements. In this paper, the TQSDL model is extended to cover the supply chain process by adding a new domain to TQSDL domains. This new domain is introduced to manage the relationships between system components and all suppliers by using the QFD tool. As well as, Dependency Structure Matrix (DSM) will be integrated into the TQSDL process to improve information management and to address the interdependency between the system components and the interrelation between activities during systems development. Moreover, DSM with a new characteristic vector will aid to capture the changes in the development cost due to the changes in customer needs or function requirements. The enhancement in TQSDL model aims to provide a complete framework and systematic thinking to the designers and technical managers during the whole system development lifecycle. Moreover, it will also support the decision makers on whether or not to implement changes to a design.
The development of complex systems with multiple constraints is the research hotspot in recent de... more The development of complex systems with multiple constraints is the research hotspot in recent decades. The models-based systems engineering (MBSE) methodologies are often adopted to develop such systems, but they cannot cover all system development dimensions (SDDs). Therefore, this paper attempts to propose a new methodology for developing the said systems, aiming to minimize development time and cost and maximize system quality, orgaizational efficiency and user satisfaction. The transdisciplinary quality system development lifecycle (TQSDL) model was modified to serve as a generic MBSE methodology. Both Quality Function Deployment (QFD) and the dependency structure matrix (DSM) were integrated into the TQSDL process. The proposed MBSE methodology fully cover all SDDs, the roles of the Systems Engineering Manager (SEM) and the systems engineering (SE) processes. In addition, the methodology enables developers to estimate the changes of development cost induced by changing user demands.
... The rate of change of angular momentum is h dt dh /) ).( frvr× ×= (7) h /). ( vrfr ××= (8) h ... more ... The rate of change of angular momentum is h dt dh /) ).( frvr× ×= (7) h /). ( vrfr ××= (8) h r/)].) 2 frvr fv − = . (9) In order to obtain the rate of change of eccentricity (e) ) 1( 2 2 e a h − = μ . (10) By differentiate ).)(. 1 2 frvr fv + − = r pa ae dt de μ , (11) ...
This paper develops a state-space neural network (SSNN) to predict the satellite thruster force a... more This paper develops a state-space neural network (SSNN) to predict the satellite thruster force and control osculating orbital elements during maneuvers. An adequate mathematical satellite model is implemented to simulate the satellite orbit trajectory. When using SSNN for control, the system identification adaptive neural network (ANN) model is implemented to represent the forward dynamics of the satellite. The prediction error between the implemented satellite model output and the ANN output is used as the ANN training's signal. In the system control stage the SSNN model is used to predict future satellite responses to potential control signals. neural predictive control (NPC) is basically a type of model-based predictive control, where the model for predictions is a neural network. Incorporating neural-network models in model based predictive control (MBPC) algorithms providing a NPC. The neural network for obtaining the predictions in the MBPC scheme is called state-space neural network (SSNN). State-space candidate models, which are likely to need less arguments than input-output models, this is clearly an advantage when small data sets only are available
This paper develops an Adaptive Neural Network Predictive Controller (ANNPC) to predict satellite... more This paper develops an Adaptive Neural Network Predictive Controller (ANNPC) to predict satellite thruster force and control osculating orbital elements during maneuvers. An adequate mathematical satellite model is implemented to simulate the satellite orbit trajectory during thrusting maneuver. When using Adaptive Neural Network (ANN) for control, two steps, System Identification and Control Design, are used. In The system identification stage, an ANN model is developed to represent the forward dynamics of the satellite. The prediction error between the implemented satellite model output and the ANN output is used as the ANN training signal. In the system control stage, the ANN model is used to predict future satellite responses to potential control signals. Using ANNPC in orbit control will optimize the thrust forces and satellite parameters due to its inherent characteristic. ANNPC will be efficient in the autonomous satellite generations and can change the way space segment and missions operate.
International Conference on Aerospace Sciences & Aviation Technology, Apr 1, 2017
Due to the increasing complexity in systems development as well the highly competitive environmen... more Due to the increasing complexity in systems development as well the highly competitive environment, it has become apparent that new ways of reducing system development time, minimize cost, enhance organizational efficiency, increase customer satisfaction, and improve the quality of the final systems are required. The Transdisciplinary Quality System development lifecycle (TQSDL) Model is one of the new systematic approaches models used as a design management tool for developing the complex systems based on scientific principles. This model is applied across the whole systems development lifecycle. The model processes are based on the Axiomatic Design (AD) and Quality Function Deployment (QFD) tool. One of the factors that influence the quality and the cost of the final systems is the supply chain. Also, one of the largest difficulties during the development of complex systems is tracking and expecting the changes in development cost due to changes in customer needs or function requirements. In this paper, the TQSDL model is extended to cover the supply chain process by adding a new domain to TQSDL domains. This new domain is introduced to manage the relationships between system components and all suppliers by using the QFD tool. As well as, Dependency Structure Matrix (DSM) will be integrated into the TQSDL process to improve information management and to address the interdependency between the system components and the interrelation between activities during systems development. Moreover, DSM with a new characteristic vector will aid to capture the changes in the development cost due to the changes in customer needs or function requirements. The enhancement in TQSDL model aims to provide a complete framework and systematic thinking to the designers and technical managers during the whole system development lifecycle. Moreover, it will also support the decision makers on whether or not to implement changes to a design.
Zenodo (CERN European Organization for Nuclear Research), Jan 13, 2017
The successful realization of complex systems is dependent not only on the technology issues and ... more The successful realization of complex systems is dependent not only on the technology issues and the process for implementing them, but on the management issues as well. Managing the systems development lifecycle requires technical management. Systems engineering management is the technical management. Systems engineering management is accomplished by incorporating many activities. The three major activities are development phasing, systems engineering process and lifecycle integration. Systems engineering management activities are performed across the system development lifecycle. Due to the ever-increasing complexity of systems as well the difficulty of managing and tracking the development activities, new ways to achieve systems engineering management activities are required. This paper presents a systematic approach used as a design management tool applied across systems engineering management roles. In this approach, Transdisciplinary System Development Lifecycle (TSDL) Model has been modified and integrated with Quality Function Deployment. Hereinafter, the name of the systematic approach is the Transdisciplinary Quality System Development Lifecycle (TQSDL) Model. The QFD translates the voice of customers (VOC) into measurable technical characteristics. The modified TSDL model is based on Axiomatic Design developed by Suh which is applicable to all designs: products, processes, systems and organizations. The TQSDL model aims to provide a robust structure and systematic thinking to support the implementation of systems engineering management roles. This approach ensures that the customer requirements are fulfilled as well as satisfies all the systems engineering manager roles and activities.
Developing a space system is a challenge which includes risk that increases with the lack of prac... more Developing a space system is a challenge which includes risk that increases with the lack of practical experience especially for a new player in space industry. A concurrent design facility (CDF) with especially tailored work stations can lower the risk of lack of experience through increasing the team interaction as additive experience and decrease over design budgets generated by designers as a result of over protective measures which leads to the infeasibility of the project. It has been demonstrated that CDF approach has proved to minimize cost and time of conceptual design, increasing possibility of studying all possible technical resolutions and exploring different architectures to find the most appropriate architecture for each mission meeting time, cost and risk constrains and also satisfying the customer who already participates during conceptual design phase. Establishing concurrent design facility (CDF) for developing countries newly introduced to space industry has great importance. With the proper organizational assembly and especially tailored workstations developing countries would have the chance to start accomplishing strong steps in designing a feasible space missions. In this paper a survey of existing concurrent design facilities (CDF) and the modifications conducted and recommended to achieve optimum risk and cost to make the facility a valuable asset for emerging countries is presented.
The successful realization of complex systems is dependent not only on the technology issues and ... more The successful realization of complex systems is dependent not only on the technology issues and the process for implementing them, but on the management issues as well. Managing the systems development lifecycle requires technical management. Systems engineering management is the technical management. Systems engineering management is accomplished by incorporating many activities. The three major activities are development phasing, systems engineering process and lifecycle integration. Systems engineering management activities are performed across the system development lifecycle. Due to the ever-increasing complexity of systems as well the difficulty of managing and tracking the development activities, new ways to achieve systems engineering management activities are required. This paper presents a systematic approach used as a design management tool applied across systems engineering management roles. In this approach, Transdisciplinary System Development Lifecycle (TSDL) Model h...
Journal of Engineering Science and Military Technologies, 2017
Due to the increasing complexity in systems development as well the highly competitive environmen... more Due to the increasing complexity in systems development as well the highly competitive environment, it has become apparent that new ways of reducing system development time, minimize cost, enhance organizational efficiency, increase customer satisfaction, and improve the quality of the final systems are required. The Transdisciplinary Quality System development lifecycle (TQSDL) Model is one of the new systematic approaches models used as a design management tool for developing the complex systems based on scientific principles. This model is applied across the whole systems development lifecycle. The model processes are based on the Axiomatic Design (AD) and Quality Function Deployment (QFD) tool. One of the factors that influence the quality and the cost of the final systems is the supply chain. Also, one of the largest difficulties during the development of complex systems is tracking and expecting the changes in development cost due to changes in customer needs or function requirements. In this paper, the TQSDL model is extended to cover the supply chain process by adding a new domain to TQSDL domains. This new domain is introduced to manage the relationships between system components and all suppliers by using the QFD tool. As well as, Dependency Structure Matrix (DSM) will be integrated into the TQSDL process to improve information management and to address the interdependency between the system components and the interrelation between activities during systems development. Moreover, DSM with a new characteristic vector will aid to capture the changes in the development cost due to the changes in customer needs or function requirements. The enhancement in TQSDL model aims to provide a complete framework and systematic thinking to the designers and technical managers during the whole system development lifecycle. Moreover, it will also support the decision makers on whether or not to implement changes to a design.
The development of complex systems with multiple constraints is the research hotspot in recent de... more The development of complex systems with multiple constraints is the research hotspot in recent decades. The models-based systems engineering (MBSE) methodologies are often adopted to develop such systems, but they cannot cover all system development dimensions (SDDs). Therefore, this paper attempts to propose a new methodology for developing the said systems, aiming to minimize development time and cost and maximize system quality, orgaizational efficiency and user satisfaction. The transdisciplinary quality system development lifecycle (TQSDL) model was modified to serve as a generic MBSE methodology. Both Quality Function Deployment (QFD) and the dependency structure matrix (DSM) were integrated into the TQSDL process. The proposed MBSE methodology fully cover all SDDs, the roles of the Systems Engineering Manager (SEM) and the systems engineering (SE) processes. In addition, the methodology enables developers to estimate the changes of development cost induced by changing user demands.
... The rate of change of angular momentum is h dt dh /) ).( frvr× ×= (7) h /). ( vrfr ××= (8) h ... more ... The rate of change of angular momentum is h dt dh /) ).( frvr× ×= (7) h /). ( vrfr ××= (8) h r/)].) 2 frvr fv − = . (9) In order to obtain the rate of change of eccentricity (e) ) 1( 2 2 e a h − = μ . (10) By differentiate ).)(. 1 2 frvr fv + − = r pa ae dt de μ , (11) ...
This paper develops a state-space neural network (SSNN) to predict the satellite thruster force a... more This paper develops a state-space neural network (SSNN) to predict the satellite thruster force and control osculating orbital elements during maneuvers. An adequate mathematical satellite model is implemented to simulate the satellite orbit trajectory. When using SSNN for control, the system identification adaptive neural network (ANN) model is implemented to represent the forward dynamics of the satellite. The prediction error between the implemented satellite model output and the ANN output is used as the ANN training's signal. In the system control stage the SSNN model is used to predict future satellite responses to potential control signals. neural predictive control (NPC) is basically a type of model-based predictive control, where the model for predictions is a neural network. Incorporating neural-network models in model based predictive control (MBPC) algorithms providing a NPC. The neural network for obtaining the predictions in the MBPC scheme is called state-space neural network (SSNN). State-space candidate models, which are likely to need less arguments than input-output models, this is clearly an advantage when small data sets only are available
This paper develops an Adaptive Neural Network Predictive Controller (ANNPC) to predict satellite... more This paper develops an Adaptive Neural Network Predictive Controller (ANNPC) to predict satellite thruster force and control osculating orbital elements during maneuvers. An adequate mathematical satellite model is implemented to simulate the satellite orbit trajectory during thrusting maneuver. When using Adaptive Neural Network (ANN) for control, two steps, System Identification and Control Design, are used. In The system identification stage, an ANN model is developed to represent the forward dynamics of the satellite. The prediction error between the implemented satellite model output and the ANN output is used as the ANN training signal. In the system control stage, the ANN model is used to predict future satellite responses to potential control signals. Using ANNPC in orbit control will optimize the thrust forces and satellite parameters due to its inherent characteristic. ANNPC will be efficient in the autonomous satellite generations and can change the way space segment and missions operate.
Uploads
Papers by Mohamed Zayan