Optimization of PID Controller

Abstract

Tuning the PID (proportional-integral-derivative) controller is one of the most important tasks to achieve accurate control. Many methods have been developed to tune the values of P, I, and D; however, classical methods showed limitations. During the last decade, many works addressed the problem as an optimization problem and showed that nature-inspired optimization techniques are prevalent, such as genetic algorithms and particle swarm optimization. This chapter provides a brief overview of applying nature-inspired optimization techniques to PID control optimization.