Optimum tuning of the PID controller for stable and unstable systems using nonlinear optimization technique

Abstract

Feedback has had a revolutionary influence in practically all areas�where it has been used and will continue to do so; it desires a simple and�effective feature of a control algorithm. The emerging features of automatic�tuning have greatly simplified the use of PID controller; a nonlinear�optimization technique based on sequential quadratic programming (SQP)�technique is used for obtaining the tuning parameters of the PID controller.�The proposed PID tuning based on SQP technique shows superiority and�effectiveness in controlling stable and unstable nonlinear systems.