Based On Active Disturbance Rejection Control Of High-speed Trains Control Strategy Research Of Automatic Train Operation

Rail transit has gradually become a popular mode of freight transportation and the first choice of national travel due to its characteristics and advantages of large capacity,energy saving,high efficiency and strong adaptability.In the second decade of the 21 st century,with the country’s economic take-off and investment in infrastructure,high-speed rail and urban rail ushered in a vigorous development.However,while technology brings more convenience to people,people also start to pay attention to the safety and environmental protection of technology.Therefore,the intelligent control method of high-speed railway is becoming the focus of more scholars,which has important academic significance and engineering application value.High-speed train operation is a more complex nonlinear,multi-constraint and multi-objective time-varying process formed by the close coupling of complex system and complex environment,Its operation mainly relies on Automatic Train Control System(ATC),and ATC is mainly composed of Automatic Train Supervision(ATS),Automatic Train Operation System(ATO)and Automatic Train Protection System(ATP),set management,control,supervision in one.The system relies on route information,ground equipment,and preset system parameters to control efficient train operation.As the core of ATC,ATO generates control instructions through internal and external information of the train to act on the train traction and braking system,so as to control the train tracking target curve to achieve accurate control of the train and meet the performance indicators of the train operation on the premise of ensuring safety.Therefore,the choice and design of ATO control strategy is particularly important.Many researches at home and abroad mainly design controllers by combining classical control,modern control and intelligent algorithm,and nesting other optimization algorithms under the role of basic algorithms to maximize their control advantages.In this paper,based on the full analysis of the structural characteristics and running characteristics of high-speed trains,several optimization algorithms with ADRC as the core are selected and designed for the optimal control of target speed and displacement curves.The main steps are as follows:First of all,the research background and significance of this subject are clarified,and the function,principle and performance index of the high-speed train control system are analyzed,The control strategy of high-speed train automatic driving is divided into the upper curve optimization layer and the lower controller design layer.The controller selection,design and optimization of the lower layer is the main body of the research,and the research object and work content are defined.Secondly,the force analysis of high-speed train controlled objects is carried out.Starting from its own traction braking characteristics,it extends to various resistance brought by environmental changes in the process of external operation.Based on Newton’s second law,the model of single and multi-particle points of the train is established,and the key characteristics of the controlled object are described comprehensively,which provides a more accurate model basis for the subsequent optimization calculation and controller design.Then,the characteristics of PID control are analyzed,and the related design defects are improved under the idea of affirming its control errors.Meanwhile,the genetic algorithm of group optimization algorithm is introduced,aiming at overcoming the difficulty of multiple parameters and difficult setting in the ADRC.A variety of automatic train driving control strategies based on ADRC and genetic algorithm are designed.Furthermore,with the help of the simulation platform,the target input is selected,the controller is constructed and the optimization algorithm is written.At the same time,the train model is instantiated to build a complete system to realize the tracking control of the target curve.Finally,based on the above research content,real line data and Parameters of the EMU CRH3 are selected and MATLAB simulation software is used.The nested S-function function instantiates the relevant model and simulates the disturbance of the train.Simulation verification and comparative analysis of relevant train automatic driving control strategies designed in this paper,Finally,it is concluded that two kinds of ADRC based on genetic algorithm show excellent control quality both in anti-interference ability and control precision.