Optimal Predicting PID Controller Based on Elite-Based Hybrid Genetic Algorithm

Abstract

There are many improved methods of optimizing PID control parameters. However, it is still difficult for most of them to reach the performance of fast search and optimize the parameters with high quality. Hence, an optimal predicting PID controller based on elite-based hybrid genetic algorithm is presented which improves the simple GA in a large degree with some new strategies and is suitable for the process with unknown time-varying delay, disturbance and time-varying parameters. The simulation results show that the controller has enhanced response speed and robustness. It is an effective control algorithm that combine elite-based hybrid genetic algorithm with predictive control.