Research On Speed Control Of High-speed Train With Saturation Constraint

High-speed railway system is not only the main transportation system,but also the backbone of the national economy development.It is an important research direction in the field of rail transit system.The system uses new science and technology to improve the stability,efficiency,energy saving,and safety of high-speed trains,which make high-speed trains more intelligent.In order to improve the control performance,the running state of high-speed train is usually obtained by using multi-class sensors.The controller that meets the system requirements is designed to emit the control signal.The control signal is transmitted to the executive module to realize the control and drive of the train.However,the actual working environment of high-speed trains is affected by many factors,which results in system performance degradation or system instability.In order to study the high-speed train speed control problem better,the high-speed train motion system based on T-S fuzzy model is established in view of multi-factors during the motion process in this paper.Considering actuator saturation,external interference and time-varying delay phenomenon,high-speed train speed control strategies are designed.The stability and dissipation performance of the system are analyzed.The main research contents are as follows:A state feedback controller is designed for T-S fuzzy model of high speed train with considering actuator saturation and interference.Firstly,convex hull representation is used to deal with input saturation.Secondly,based on Lyapunov stability theory,sufficient conditions for the asymptotic stability of the closed-loop system are obtained.Combined with the dissipative performance index,the gain of the dissipative controller is obtained in the form of Linear Matrix Inequalities(LMIs).Then,based on the LMIs,the method of estimating the maximum attractive domain of the closed loop system is given.Finally,the numerical simulation of the train control system verified the effectiveness of the control strategy.For the T-S fuzzy model of high-speed trains taking into account input saturation,external disturbances and time-varying delays,a control strategy based on state observer is designed.Firstly,the convex hull representation is used to deal with input saturation in closed loop system with augmented state vectors.Secondly,by constructing the Lyapunov function containing the delay information,sufficient conditions for the asymptotic stability of the closed-loop system are obtained.Thirdly,combined with the dissipation performance index,the gain of state observer and the solutions of the dissipation controller are given in the form of LMIs.Then,based on LMIs,the method of estimating the maximum attractive domain of the closed loop system is given.Finally,the numerical simulation of the train control system is simulated,which shows that the designed control strategy can ensure the stability of the high-speed train system under the influence of different time delay factors.