A design of nonlinear PID control systems by using local model identification

In this paper, a design method of nonlinear PID control systems is proposed. First, some local models are estimated based on least squares method by using piecewise data sets. Furthermore, the PID parameters are calculated by using these local model parameters. Finally, the effectiveness of the proposed nonlinear PID control scheme is evaluated by the simulation example and experiment of temperature system.