In many controller design problems, the performance of systems is generally described in terms of overshoot, rising time, settling time, maximum input and so on. Keeping pace with the requirements of systems creates complex optimization problems. In t...
In many controller design problems, the performance of systems is generally described in terms of overshoot, rising time, settling time, maximum input and so on. Keeping pace with the requirements of systems creates complex optimization problems. In this paper, a real coding genetic algorithm which can solve nonlinear constrained optimization problems is presented and the optimum setting of its control parameters is explored. The paper also includes the application of the proposed algorithm to PI controller tuning.