An adaptive neural PID controller for torque control of hybrid electric vehicle

An adaptive neural PID controller for torque control of hybrid electric vehicle is presented in this paper. In this controller the PID gains are tuned automatically by the neural network in an on-line way. In addition, the relative learning algorithms of the neural PID controller are gived. At last, simulation and experiment results based on an application of the torque control system are provided. The experimental results are compared to those of a conventional PID controller, it can be observed that the error has been reduced significantly using the neural PID controller.