Research on an improved PSO algorithm with dual self-adaptation and dual variation-Reference-Cited by-同舟云学术

Research on an improved PSO algorithm with dual self-adaptation and dual variation

Published:2022-08-07 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Mechatronics and Automation (ICMA)
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Author:

Chen Mingjie¹,Wang Yuchao¹,Li Peng¹,Fu Huixuan¹

Affiliation:

1. Harbin Engineering University,College of Intelligent Systems and Engineering,Harbin,Heilongjiang Province,China

Publisher

IEEE

Link

Reference7 articles.

1. Improved particle swarm optimization algorithm and its application in PID tuning;yang;Control Engineering,2016

2. Improved PSO algorithm for parameter optimization of PID controller;chen;Precision Manufacturing and Automation,2018

3. Particle Swarm optimization with neighboring particle information;cai;Computer Engineering and Applications,2009

4. Improved particle swarm optimization fractional order PID controller parameters;jin;Computer Application,2019

5. On on-line PID parameter tuning of improved PSO ELECTRO-HYDRAULIC SERVO system;zhang;Control Engineering,2008

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