长春工程学院学报（自然科学版）2016，Vol.17Issue(4)：89-91,99,4.DOI:10.3969/j.issn.1009-8984.2016.04.023
基于改进免疫遗传算法的PID参数优化仿真研究
The Optimization of PID Parameters Based on Improved Immune Genetic Algorithm
刘淑荣 1李楠 2庞伟3
作者信息
- 1. 长春工程学院电气与信息学院,长春 130012
- 2. 配电自动化吉林省高校工程研究中心,长春130012
- 3. 吉林省邮电规划设计院有限公司,长春 130021
- 折叠
摘要
Abstract
This article utilizes the self characteristics of improved immune genetic operation by combining the improved immune genetic algorithm and traditional PID control parameter optimization,and inputs the real time update of vaccine to ensure the advancement of the vaccine and increase the evolution speed of the system toward the optimal solution.Taking the boiler temperature as an example,proved by MATLAB-Simulink simulation,it shows that the application of this improved immune genetic algorithm not only has a better control performance to optimize PID temperature parameter,but also ensures the real-time control effect of the boiler temperature.关键词
改进免疫遗传算法/PID参数优化/锅炉温度/MATLAB-Simulink仿真Key words
improved immune genetic algorithm/PID parameter optimization/boiler temperature/MATLAB-Simulink simulation分类
信息技术与安全科学引用本文复制引用
刘淑荣,李楠,庞伟..基于改进免疫遗传算法的PID参数优化仿真研究[J].长春工程学院学报（自然科学版）,2016,17(4):89-91,99,4.
