Controlling Of Non linear Process Using Neural Network Based Adaptive PID Controller

Mr. R. Sakthi Vel, Mrs. A. Dhanalakshmi, V. Dhivya , S. Keerthana , M. Revathi

Fault tolerant control of dynamic processes is investigated in this paper using an auto-tuning of Adaptive PID controller. A fault tolerant control scheme is proposed composing an auto-tuning Adaptive PID controller based on an adaptive neural network model. The model is trained online using the Unscented Kalman filter (UKF) algorithm to learn system post-fault dynamics. Based on this model, the Adaptive PID controller adjusts its parameters to compensate the effects of the faults, so that the control performance is improved. The auto-tuning algorithm for the Adaptive PID controller is derived with the Lyapunov method and therefore, the model predicted tracking error is guaranteed to desired point asymptotically.