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

Ning Ding, Priti Prabhakar, Anita Khosla, Vishal Jagota, Edwin Ramirez-Asis, Bhupesh Kumar Singh and Sovan Samanta

Discrete Dynamics in Nature and Society, 2022, vol. 2022, 1-8

Abstract: 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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:5608054

DOI: 10.1155/2022/5608054

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