Train control simulation based on CMAC-PID algorithm

For the problem that the motion model of metro car is highly nonlinear-unstable-multivariable coupled and uncertain model, train ATO optimization control attracts more and more attention.A control curve tracking method based on CMAC-PID algorithm is presented in this paper. The basic control law is designed by adaptive learning, which can over come the phenomena overshoot and ineffective convergence on conventional PID algorithm. Partly restrain the effects of model parameters perturbation and external disturbances. According to the simulation experiments, the approach improves the existing system in the aspects of tracking ability and robustness, which finally obtain satisfactory conclusion.