PID parameter tuning based on improved particle swarm optimization algorithm

Autor:	Peidong Shi, null Jianchuan, null Xianyu
Rok vydání:	2023
Předmět:	History Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2493:012005
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2493/1/012005
Popis:	To address the shortcomings of the particle swarm algorithm in solving the PID controller parameter optimization problem in the late stage, an improved particle swarm algorithm is proposed for solving the problem. The particle swarm algorithm is optimized by introducing a nonlinear decreasing inertia weight adjustment strategy so that the pre-flight speed of the particles does not drop too fast, thus balancing the global search ability of the particles with the local search ability and avoiding falling into a local optimum. Simulation experiments were conducted in Matlab/Simulink using the standard PSO, ZN formula method, and the improved PSO, respectively. The results show that the improved algorithm enhances the stability, convergence speed, and search accuracy of the PID parameters with better performance indicators.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0763ef0a6417216dcac2da096f4aa606 https://doi.org/10.1088/1742-6596/2493/1/012005 Zobrazit plný text záznamu