摘要
针对某焦炉集气管压力波动幅值大、压力振荡剧烈的情况,提出了一种基于粒子群优化的变结构模糊控制方法.该方法针对集气管压力的不同波动范围,采用不同的控制规则设计了两个模糊控制器.针对模糊量化因子调节的困难,采用粒子群优化惯性系数的自适应调整机制,以寻优模糊控制器量化因子.仿真实验以及实际运行结果表明,采用该方法所建立的控制系统能够快速调节3#阀门开度,使集气管压力在短时间内达到稳定,证明了该算法的有效性和优越性.
The gas collector pressure of a coke-oven fluctuates sharply and changes suddenly, and based on this characteristic, a variable structure fuzzy control approach based on particle swarm optimization method is developed. Two fuzzy controllers which use different control rules are designed according to different ranges of gas collector pressure. For the situation that fuzzy controller qtiantifiable factors are difficult to be modified, the adaptive tuning laws of PSO inertia coefficient are adopted to obtain the preferable fuzzy controller quantifiable factors. Simulation and actual operating results show that the control system based on the proposed method can rapidly adjust 3# valve opening and make the gas collector pressure stable in a short time, and prove that this approach is effective and advantageous.
出处
《信息与控制》
CSCD
北大核心
2008年第3期327-333,共7页
Information and Control
基金
国家863计划资助项目(2006AA042172)
国家杰出青年科学基金(60425310)
关键词
集气管压力
变结构模糊控制
粒子群优化
gas collector pressure
variable structure fuzzy control
particle swarm optimization
