Researching On Iterative Learning Control Algorithm Of Multi-Volume Coupling Pressure System

With the developing of national high-speed railway, EMU running stability and structural strength are most important concerned by designers, and it is the most important researching area also. EMU will appear a variety of conditions when it is running, for example, open wire meeting, tunnels, the tunnel meeting, Etc. Therefore researching EMU airtight performance and body strength is particularly important, and the change in interior pressure of train is also an important indicator on human comfort.Tightness Test Bench is a pressure simulation system setting up for researching the effect of pressure fluctuation about body tightness and strength, and the purpose is to simulate EMU pressure change in various conditions. Test bench can repeat the real wave that measured on the line, and then diminish the workload of test, and it can save material and human resources also. Getting start the researching objects-Multi-Volume Coupled Pressure System-of this paper by abstracting the physical model of Tightness Test Bench. This system includes four containers, one container simulates the space of outside of the train, and another one simulates the space of inside of the train, and they connect in parallel. This paper designs a positive buffer container and a negative buffer container, and they connect with inside and outside space of the train in series. Therefore, this system is a series-parallel Multi-Volume Coupled Pressure System.It is difficult to determine the precise mathematical model of the characteristics of the fan and piping, so it is inaccurate to simulate this system by transfer model. Therefore, this paper infers mathematical equations of Multi-Volume Coupling System by using the principle of conservation of energy and the knowledge of fluid mechanics and the state equation of standard gas. Combining with the actual situation this paper increases inertia and pure delay in the middle part ordering to osculate the simulation model with actual physical model.According to the railway industry standard, this paper determines the loading conditions and the control accuracy of the system, so it is necessary to design a control system to meet the requirements of the system control accuracy. This paper designs complex iterative learning algorithm that bases on traditional PID according to the periodical and repeating characteristics of the curve. This paper designing open-loop and open-closed-loop iterative algorithms and different learning law that base on the researching of ILC to study the impact of convergence and convergence rate of the iterative algorithm.Using MATLAB/SMULINK creates the model of Multi-Volume Coupled Pressure System and iterative learning control algorithm, and then realizes simulation model connection with control algorithm. Meanwhile, designing a human-machine interface making the simulation system has a higher application value. Taking different iterative learning law and open loop control algorithm to simulate, and then compare and analysis of the results. At last according to the results sum up the advanced control algorithms which is more suitable for Multi-volume coupled pressure system.