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Tang, Tao
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Tang, Tao
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Tang, Tao
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Tang, Tao
Advances in Mechanical Engineering
Optimal operation of high-speed train based on fuzzy model predictive control
Mechanical Engineering
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spelling Wang, Xi Tang, Tao 1687-8140 1687-8140 SAGE Publications Mechanical Engineering http://dx.doi.org/10.1177/1687814017693192 <jats:p> Focusing on exploring optimal control method of high-speed train, this research explicitly introduces a fuzzy predictive control framework to enhance safety, comfort, and energy-efficiency. The dynamic equation of the high-speed train is modeled as a cascade of cars connected by spring-like couplers and then represented by Takagi–Sugeno fuzzy model. Based on model predictive control approach, an effort is made on the design of fuzzy predictive controller such that each car tracks the target speed, and every coupler is stabilized to the equilibrium state as well as optimizing the performance function value at every time instant with regard to accelerating and braking constraints. Sufficient conditions for the existence of corresponding controller optimization problem are given in a set of linear matrix inequalities. Some simulations are performed to show the effectiveness of the model and the algorithm. </jats:p> Optimal operation of high-speed train based on fuzzy model predictive control Advances in Mechanical Engineering
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title Optimal operation of high-speed train based on fuzzy model predictive control
title_unstemmed Optimal operation of high-speed train based on fuzzy model predictive control
title_full Optimal operation of high-speed train based on fuzzy model predictive control
title_fullStr Optimal operation of high-speed train based on fuzzy model predictive control
title_full_unstemmed Optimal operation of high-speed train based on fuzzy model predictive control
title_short Optimal operation of high-speed train based on fuzzy model predictive control
title_sort optimal operation of high-speed train based on fuzzy model predictive control
topic Mechanical Engineering
url http://dx.doi.org/10.1177/1687814017693192
publishDate 2017
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description <jats:p> Focusing on exploring optimal control method of high-speed train, this research explicitly introduces a fuzzy predictive control framework to enhance safety, comfort, and energy-efficiency. The dynamic equation of the high-speed train is modeled as a cascade of cars connected by spring-like couplers and then represented by Takagi–Sugeno fuzzy model. Based on model predictive control approach, an effort is made on the design of fuzzy predictive controller such that each car tracks the target speed, and every coupler is stabilized to the equilibrium state as well as optimizing the performance function value at every time instant with regard to accelerating and braking constraints. Sufficient conditions for the existence of corresponding controller optimization problem are given in a set of linear matrix inequalities. Some simulations are performed to show the effectiveness of the model and the algorithm. </jats:p>
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description <jats:p> Focusing on exploring optimal control method of high-speed train, this research explicitly introduces a fuzzy predictive control framework to enhance safety, comfort, and energy-efficiency. The dynamic equation of the high-speed train is modeled as a cascade of cars connected by spring-like couplers and then represented by Takagi–Sugeno fuzzy model. Based on model predictive control approach, an effort is made on the design of fuzzy predictive controller such that each car tracks the target speed, and every coupler is stabilized to the equilibrium state as well as optimizing the performance function value at every time instant with regard to accelerating and braking constraints. Sufficient conditions for the existence of corresponding controller optimization problem are given in a set of linear matrix inequalities. Some simulations are performed to show the effectiveness of the model and the algorithm. </jats:p>
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spelling Wang, Xi Tang, Tao 1687-8140 1687-8140 SAGE Publications Mechanical Engineering http://dx.doi.org/10.1177/1687814017693192 <jats:p> Focusing on exploring optimal control method of high-speed train, this research explicitly introduces a fuzzy predictive control framework to enhance safety, comfort, and energy-efficiency. The dynamic equation of the high-speed train is modeled as a cascade of cars connected by spring-like couplers and then represented by Takagi–Sugeno fuzzy model. Based on model predictive control approach, an effort is made on the design of fuzzy predictive controller such that each car tracks the target speed, and every coupler is stabilized to the equilibrium state as well as optimizing the performance function value at every time instant with regard to accelerating and braking constraints. Sufficient conditions for the existence of corresponding controller optimization problem are given in a set of linear matrix inequalities. Some simulations are performed to show the effectiveness of the model and the algorithm. </jats:p> Optimal operation of high-speed train based on fuzzy model predictive control Advances in Mechanical Engineering
spellingShingle Wang, Xi, Tang, Tao, Advances in Mechanical Engineering, Optimal operation of high-speed train based on fuzzy model predictive control, Mechanical Engineering
title Optimal operation of high-speed train based on fuzzy model predictive control
title_full Optimal operation of high-speed train based on fuzzy model predictive control
title_fullStr Optimal operation of high-speed train based on fuzzy model predictive control
title_full_unstemmed Optimal operation of high-speed train based on fuzzy model predictive control
title_short Optimal operation of high-speed train based on fuzzy model predictive control
title_sort optimal operation of high-speed train based on fuzzy model predictive control
title_unstemmed Optimal operation of high-speed train based on fuzzy model predictive control
topic Mechanical Engineering
url http://dx.doi.org/10.1177/1687814017693192