Abstract
Based on the analysis of train running process and train motor-driven models, a n ATO compound control algorithm of multimod e fuzzy decision making is proposed , which will improve the effects of dynamic and static control of ATO system. Control weighting coefficients of PID controller output and fuzzy controller output are obtained by fuzzy reasoning , fuzzy decision-making and dynamic calculations of error and error rate of train speed, and also the weighting coefficients are used for the output calculation of fuzzy decision-making controller. Simulation results show the speed and accuracy of ATO speed control are improved effectively by the compound multimod e decision controller algorithm, which help to improve the comfort of trains and its stop precision.
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