Research On Control Algorithm For Tracking Operation Of High-speed Trains Under Moving Block

In recent years,high-speed railway has developed rapidly in China because of its advantages of comfort,rapidity,safety and speed.High-speed train tracking operation should not only safety requirements but also satisfy the multi-objective requirements of punctuality,comfort,accurate parking and efficiency.However,since the tracking operation process is extremely complex and the running environment is abruptly changeable,it is difficult for the manual driving control strategy based on the curve of speed-distance to satisfy the above-mentioned multi-objective optimal control requirements.Moreover,at present,the system of the tracking operation widely used in high-speed train is fixed block system(FBS)and quasi moving block system(QMBS),while high speed and density tracking operation based on moving block system(MBS)has been the development tendency of high-speed train.Aiming at these problems,this thesis studys the multi-objective optimal control of high-speed train under the general block signal system(FBS and QMBS)and MBS to ensure the safety,punctuality,comfort and efficiency operation of high-speed train.The main research contents of this thesis are as follows:(1)This thesis describes the basic concepts,main features and functions of FBS,QMBS and MBS and establishes the minimum tracking distance and time of train running under FBS,QMBS and MBS.(2)The calculation of high-speed train operation traction and mathematical description of each optimization evaluation index has been studied.Besides,this thesis analyzes the calculation method of the traction,braking force and resistance during the train operation,and builds single-particle dynamic model of high-speed train and expounds the principle of conversion and the operation strategy.At the same time,this thesis also describes the performance indexes of safety,punctuality,accurate parking,comfort and efficiency.(3)Making a deep study that the method of the multi-objective tracking operation optimal control under the general block signal system(FBS and QMBS).This thesis combines the respective advantages of predictive control,fuzzy control and PID control and tries to propose a prediction fuzzy PID control algorithm and the multi-objective model is established has been based on the performance indexes of punctuality,accurate parking,and comfort and then optimizes this model through genetic algorithm and the high-speed train operation target curve is obtained by MATLAB simulation software.Finally,in order to obtain the corresponding train tracking curves,the Simulink module has been used to establish the PID controller simulation model,the fuzzy PID controller simulation model and the prediction fuzzy PID controller simulation model.Compared with the different simulation results,it is verified that the predictive fuzzy PID control algorithm is more effective in improving punctuality,comfort,accurate parking of train operation.(4)The multi-objective optimization problem of high-speed train tracking operation under MBS is studied.Firstly,this thesis analyzes the basic principles of MBS,builds the safe distance model and the route model of tracking operation and establishes the multi-objective model with efficiency,comfort,and punctuality.Then,aiming at high speed and high density tracking operation process of high-speed train,this thesis tries to integrate the improved grey predictive fuzzy PID control algorithm.Finally,according to MATLAB simulation,the tracking operation curves are obtained before and after optimization.After a series of comparisons,the result shows that the improved grey predictive fuzzy PID control algorithm can not only ensure the safety of high-speed train in high speed and high density tracking operation but also improve the punctuality,comfort and efficiency.