Tuning PID controller using adaptive genetic algorithms

Proportional Integral Derivative (PID) controllers are widely used as a means of controlling system outputs. Many techniques have been developed to tune the PID parameters. In this article, adaptive genetic algorithms (AGA) are proposed as a method for PID optimization and compared with those of traditional optimizations methods. Simulations with different processes show that the gains obtained using adaptive genetic algorithms (AGA) provide better performance than those obtained by the classical Ziegler-Nichols (ZN) method and classical genetic algorithms (CGA) method.