Research On Control Strategy Of Multi-objective Optimization For Automatic Operation Of High-speed Train

As a main force in the field of transportation,railway has been playing a vital role in the transportation industry with its advantages of safety,efficiency,convenience and economy,whether in logistics or passenger delivery.In recent years,the rapid development of high-speed railway in China has improved the efficiency of railway transportation,promoted the development of regional economy and improved the quality of social livelihood.With the continuous increase of the construction scale and operating mileage of high-speed railway,higher requirements are put forward for the service quality of high-speed train.On the premise of ensuring the safety,accurate parking,punctuality,comfort,energy saving and other goals need to be met.In order to adapt railway service to economic and social development,it is of great social significance and economic value to carry out multi-objective optimization research of high-speed train operation.For the optimization of train operation process,domestic and foreign scholars mainly study how to reduce energy consumption,which can not meet the needs of today’s economic and social development;At the same time,the influence of the train passing through the Neutral Zone is not considered,which leads to a large error between the research results and the actual situation.In this thesis,starting with the objectives of accurate parking,punctuality,comfort and energy saving,and the Neutral Zone is brought into the train operation control strategy to carry out multi-objective optimization research.In addition,the predecessors mainly designed the train speed controller according to PID controller for tracking the optimal target speed curve in the process of automatic train operation.Because of the contradiction between speed and overshoot in the PID control process,the differentiator is difficult to realize in the physical level,and it is difficult to adjust the system with hysteresis or inertia,which leads to large deviation in the tracking effect,thus affecting the overall tracking effect.In this thesis,the train speed controller is designed based on Active Disturbance Rejection Controller(ADRC),and finally the train can accurately track the optimal target speed curve.The main research contents are as follows:(1)First of all,the background and significance of the research are clarified,and the principle,structure and functions of high-speed train automatic operation system are intensive analyzed.The running process of high-speed train automatic operation is divided into the optimization of the optimal target speed curve and the tracking of the optimal target speed curve.In order to evaluate the running effect of automatic train operation,multi-objective optimization indexes such as precise parking,punctuality,comfort and energy consumption are established.In this thesis,the operation control strategy of high-speed train is intensive analyzed,and an improved hybrid control strategy is proposed to guide the running process.(2)Secondly,modeling and force analysis are carried out for the running process of high-speed train.The single mass point model and multi-mass point model are established respectively,and the force conditions of the two models are analyzed.At the same time,the working condition transformation and running state of high-speed train are discussed and analyzed.An improved particle swarm optimization(PSO)method based on fusion genetic operator is proposed to obtain the optimal target speed curve satisfying multi-objective optimization.(3)Finally,the high-speed train speed controller is designed,the advantages and disadvantages of PID controller are analyzed,and the ADRC technology is adopted to overcome the problems of poor control effect and large tracking error of PID speed controller.For the complex parameter adjustment of ADRC,the improved Particle Swarm Optimization algorithm with genetic operator is used to adjust these parameters.Through SIMULINK simulation platform,the simulation model of ADRC is built to control the train to track the optimal target speed curve and complete the whole process of multi-objective optimization of automatic train operation.Based on the above-mentioned research contents,the actual line and CRH3 EMU are selected,and the simulation experiment of the above-mentioned research process is carried out based on the MATLAB simulation platform,and the simulation results before and after optimization are compared under the conditions of different working conditions control strategies to verify the feasibility of the target speed curve optimization method proposed in this thesis.At the same time,the ADRC is designed and built to control the train to track the optimal target speed curve.By comparing with the tracking effect of PID speed controller,it is further verified that the ADRC-based train speed controller has the best control effect and the smallest tracking error,which meets the multi-objective optimization requirements of high-speed train automatic operation.