Auto-tuning of classical PID controllers using an advanced genetic algorithm

Advanced genetic algorithms (GAs) are used to automatically carry out the fine-tuning of the parameter settings of classical PID (proportional plus integral plus derivative) controllers. The basic concept and working principle of GAs are introduced and compared with those of traditional optimization techniques. An advanced GA which can rapidly optimize the parameter auto-tuning process of classical PID controllers is designed based on the GA theory, the authors´ experience, and different performance indices, including nonlinear or multiple criteria. The computer implementation of this GA has been accomplished and tested against some benchmark examples. Simulation results demonstrate the efficiency and effectiveness of the proposed tuning technique