Performance assessment and self-healing of PID controller based on model adaption with ZNN

According to the problem that the performance of PID controllers decline in actual industrial control, a performance evaluation and self-healing method of PID controller based on the ISE-TSV indicators and model adaption with the new neural dynamics (ZNN) is proposed. First, the integral squared error (ISE) and total squared variation (TSV) index are applied to assess the performance of PID controller. Then, a self-healing method for PID controllers based on model adaption with ZNN is proposed to optimize PID controller parameters. Based on the proposed method, the controller performance evaluation and self-healing (CPES) software has been developed. The feasibility and effectiveness of the proposed method and CPES have been verified by simulation and real industrial application.