The Train Tunnel Pressure Wave Simulation And Simulation Research On The Algorithm Of Iterative Learning Control

High-speed railway transport has become the development direction of modern railway and also the common trend of the development of railway passenger transport in the world because of its advantages of fast, comfortable, economic, reliable and environmentally friendly. To realize rapid transit is the inevitable result of the progress of the world eco-nomic and social development. With the seven times speedup of high-speed railway, our country is moving forward into the advanced ranks in the world. But the study on the high-speed train basic theory and key aerodynamic problems in our country is still not deep enough, so need to study the tunnel wave influences effected on the air tightness of the train, the strength of the body and also bring comfort issues caused by the high speed train running in the tunnel or meeting another in the tunnel. Research on the above problems will provide scientific basis for the structure design, manufacture and operation of high speed trains.This paper will design a train tunnel pressure wave simulation system, aimed at the test train which size is the same to the actual train, and study on the prophase theory and simulation. This paper is aimed at simulate tunnel pressure wave using iterative learning control algorithm in the train tunnel pressure wave simulation system, on the basis of the measured tunnel pressure wave data, and working on the test train circularly to simulate the scenarios that high-speed trains run in the tunnel, in order to detect the aerodynamic effects on the train body.The main research work in this paper is as follows:1. A model of the train tunnel pressure wave simulation system is designed in this pa-per.2. A co-simulation based on AMESim and MATLAB is done in this paper, the physi-cal model of the tunnel pressure wave simulation system is built in the AMESim software and the simulation module of the iterative learning control algorithm is also accomplished in the Simulink.3. According to the co-simulation model, make simulation of P-type open iterative learning control algorithm and the PD type open-loop iterative learning control algorithm. Then, analyze the control effect of the two basic iterative learning control algorithms in simulating the tunnel pressure waves simulation system.4. In this paper, a combination type of iterative learning control algorithm which is fit to the tunnel pressure wave simulation system mentioned above is put forward to solve this problem. On the basement of this algorithm, this paper has made improvement of the initial control volume of iteration. Theoretical analysis and simulation results show that, the com-bination type of iterative learning control algorithm can achieve a better control effect compared to other control algorithms mentioned above in simulating the tunnel pressure waves.