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Received:April 27, 2011 Revised:September 07, 2011
Received:April 27, 2011 Revised:September 07, 2011
中文摘要: 针对基本粒子群算法的原理,阐述了一种改进算法(带压缩因子的粒子群算法),简述了PID控制器的工作原理、粒子群参数优化方法的实现,并举例说明此改进算法在某汽包压力控制系统中的应用,利用matlab进行仿真优化,证明此改进算法优化的性能优于基本的粒子群优化算法,有很好的工程应用前景。
Abstract:In this paper, the principle of particle swarm algorithm, describes an improved algorithm which with compression factor of PSO, outlines the working principle of PID controllers, particle swarm optimization method implementation, and examples of the improved algorithm A drum pressure control system, optimize the use of matlab simulation show that the improved optimization algorithm outperforms the basic PSO, there are certain engineering applications in future.
keywords: compression factor PSO drum pressure PID tuning
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引用文本：
刘长良,高亚龙.带压缩因子的粒子群算法在汽包压力控制系统中的应用.计算机系统应用,2012,21(1):164-167
LIU Chang-Liang,GAO Ya-Long.Application of PSO with Compression Factor in the Drum Pressure Control System.COMPUTER SYSTEMS APPLICATIONS,2012,21(1):164-167
刘长良,高亚龙.带压缩因子的粒子群算法在汽包压力控制系统中的应用.计算机系统应用,2012,21(1):164-167
LIU Chang-Liang,GAO Ya-Long.Application of PSO with Compression Factor in the Drum Pressure Control System.COMPUTER SYSTEMS APPLICATIONS,2012,21(1):164-167
