PID Control of Main Steam Temperature Used Quantum Particle Swarm Optimization

摘要：

　　The main steam temperature is always an important indicator of the boiler operation quality,high or low will affect the quality of boiler operation.At first,introduce a algorithm PSO,which can used to optimize the PID parameters of a main steam temperature control system.Then,improved the PSO,and studied a kind of improved panicle swarm algorithm—quantum apply quantum-behaved particle swarm optimization (QPSO).And this algorithm is used to optimize the PID parameters of a main steam temperature control system,got the best parameters.In the end,simulation result shows that,compared with basic particle swarm optimization (PSO),QPSO can make main steam temperature control system has a better control of quality,and improves the system of static and dynamic characteristics.

关键词： QPSO PSO Main Steam Temperature Optimization Algorithm Simulation Studies

作者: Yanmin Nie Tao Wang Yingbo An

作者单位: HeBei Finance University.,Baoding,China

会议类型: 国际会议

会议名称: the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 1204-1207

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）