Dynamical Adaptive Particle Swarm Algorithm and Its Application to Optimization of PID Parameters

• 作者: Guolin Yu Jimin Li
• 来源期刊: 美国运筹学期刊(英文)
• 学科: 工学
• 关键词: PARTICLE SWARM OPTIMIZATION DYNAMICAL ADAPTIVE PID Automatic REGULATION System
• 年，卷（期）: 2012,（3）
• 页码范围: 448-451
• 页数: 4页
• 分类号: TP1

摘要

Based on a new adaptive Particle Swarm Optimization algorithm with dynamically changing inertia weight (DAPSO), It is used to optimize parameters in PID controller. Compared to conventional PID methods, the simulation shows that this new method makes the optimization perfectly and convergence quickly.