Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2-DOF PID Controller

Ding N.; Prabhakar P.; Khosla A.; Jagota V.; Ramirez-Asis E.; Singh B.K. · Discrete Dynamics in Nature and Society (2022) · DOI: 10.1155/2022/5608054

Resumen

To solve the difficulty in selecting the crossover probability and mutation probability in genetic algorithms, a fuzzy immune algorithm based on adaptive estimation of crossover probability and mutation probability in a fuzzy reasoning system is proposed, and it is used in the parameter optimization design of a two-degree-of-freedom PID controller. According to the experiment and simulation results, classic genetic algorithm evolution tends to halt after 37 generations, with a fitness value of 7.135, whereas fuzzy genetic algorithm evolution tends to stop after 20 generations, with a fitness value of 7.486. The 2-DOF PID controller that was created can give the system strong target value following and interference suppression features at the same time.

Instituciones: Universidad Nacional Santiago Antúnez de Mayolo