Electromagnetism-like Mechanism Particle Swarm Optimization and Application in Thermal Process Model Identification
In order to improve the performance of the particle swarm optimization (PSO) algorithm, the electromagnetism-like mechanism (EM) algorithm is introduced and the electromagnetism-like mechanism particle swarm optimization (EMPSO) algorithm is put forward. Each particle’s best value is replaced by the weighted value of all particles’ best value and local search mechanism is used in the algorithm. The results of testing typical function demonstrate that the convergence precision and convergence rate of EMPSO algorithm are better than those of PSO algorithm. EMPSO algorithm is used to identify the typical transfer function of thermal processes and the transfer function between primary air volume and bed temperature in a circulating fluidized bed (CFB) boiler, achieving some satisfactory identification results.
particle swarm optimization electromagnetism-like mechanism circulating fluidized bed bed temperature primary air identification
Changliang Liu Xiaojiao Sun
Department of Automation,North China Electric Power University, Baoding, 071003
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
2966-2970
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）