Study Of Locomotive Anti-skid Controller Based On Fuzzy Sliding Mode Control

With the people’s demand of traveling and the development of science and technology, the speed of the locomotive become faster and faster, and the load of the locomotive is also growing. How to shorten the braking distance and avoid wear the wheel with a high speed and heavy loads has become a research focus in the field of locomotive brake. Therefore, the research on anti-sliding control of railway brake system becomes an important and meaningful subject.According to the principles and characteristics of the anti-sliding control system, the thesis analyzes several key technologies in the anti-sliding control process, and get two focus of the system, they are the calculation of the reference speed and the algorithm of anti-sliding control. The thesis compares the various reference speed calculation method, and gives out a method to calculate the reference speed, which is based on the characteristics of locomotive dynamics. To improve the shortcomings, the thesis improves the algorithm and gives out a more perfect method, and use simulations to verify the effect of the algorithm.By consider the characteristics of anti-sliding control system of the railway brake system, the thesis gets the model of the locomotive and the wheels. And then, the thesis designs a Sliding Mode Controller (SMC) with integral sliding mode switching function. To keep the existence and reachability of the sliding mode, it uses the equivalent control method to design the control law, which is constant with equivalent control and robust control. Because there is chattering in the SMC when the system enter the sliding surface. The thesis replaces the switching control law with the fuzzy control law, and after the change, the control law becomes the Fuzzy Sliding Mode Controller (FSMC). According to the analyses of the FSMC, the FSMC is robust and it has eliminated chattering. The FSMC get a good combination of the advantages of fuzzy control and sliding mode control.In order to test the effect of the SMC and FSMC, the thesis simulates the two controllers with MATLAB and Fuzzy Logic Toolbox. To compare the effect of the designed controllers, the thesis designs a Fuzzy Controller according to reference. There are different output of the three controllers with the inputs of step signal, the sinusoidal signal and Gaussian noise signal. From the simulation result, it can be know that the FSMC combined the advantages of FC and SMC, and got the best control effect.