Genetic Algorithm Based PID Tuner

摘要

This paper presents a Genetic Algorithm (GA)-based Proportional-Integral-Derivative (PID) Controller tuner. The tuning is based upon maximization of a comprehensive fitness function constructed as inverse of weighted-average of integral square error (ISE), Peak Overshoot (Mp), Rise Time (tr) and Settling Time (ts). A few modifications to the canonical algorithm are proposed. Some crucial implementation issues are discussed. The difficulty in testing a stochastic program like GA is illustrated with a simple example. The GA-tuned PID controller (henceforth GAPID) shows excellent closed-loop performance on stable and unstable systems. Some future directions are listed.