The Optimization about PID controllers parameter based on QPSO Algorithm

摘要：

PID controller for control system parameter optimization problem, we introduced Quantum-behaved particle swarm optimization (QPSO) algorithm, this method has the quantum behavior of particles, which can search the entire feasible region, the state only with particles position vector to describe, and they rely on only one parameter, the convergence speed and global convergence properties are superior to the traditional PSO. Simulation results verify the feasibility of quantum particle swarm optimization and effectiveness.

关键词： PID controller Optimization about parameter Quantum-behaved Particle Swarm Optimization

作者: Liu Jing-hui Xu Wen-bo

作者单位: School of Internet of Things EngineeringJiangNan UniversityWuxi, Jiangsu, China School of Internet of Things Engineering JiangNan University Wuxi, Jiangsu, China

会议类型: 国际会议

会议名称: 2011 IEEE 10th International Symposium on Distributed Computing and Applications to Business,Engineering(第十届电子商务、工程及科学领域的分布式计算和应用国际学术研讨会 DCABES 2011)

会议地点: 无锡

会议语种:英文

页码: 359-363

在线出版日期: 2011-10-14（万方平台首次上网日期，不代表论文的发表时间）