摘要
针对传统PID参数整定方法和智能PID参数整定方法存在的不足,将粒子群优化算法与混沌理论相结合,提出了基于Logistic映射的混沌粒子群优化算法,并将该算法应用于PID参数的优化整定。结果表明:该算法能够获得良好的整定效果和收敛特性,从而验证了该算法的可行性和优越性。
In view of shortage of parameter tuning methods for traditional and intelligent PID, chaos particle swarm optimization algorithms based on Logistic mapping is proposed with combination of particle swarm optimization algorithm and chaos theory, and is applied in PID parameter optimization and tuning. The results show good setting effect and astringent properties can be obtained with the algorithm. The feasibility and superiority are verified.
出处
《石油化工自动化》
CAS
2016年第4期32-33,39,共3页
Automation in Petro-chemical Industry
关键词
粒子群优化算法
混沌
PID参数整定
particle swarm optimization algorithm
chaos
PID parameter tuning
