摘要
针对三相电极电流耦合的电石炉系统,设计出一种智能PID控制器。该控制器首先采用实数编码的遗传算法优化PID控制器的参数,得到一组参数的最优值。然后以此最优值作为PID参数的初始值,结合积分分离的原则设计出一种模糊解耦推理规则对PID参数进行实时整定,以确保系统的响应具有最优的动态和稳态性能。对比仿真试验的结果表明,与常规的PID控制器相比,这种智能PID控制器用于电石炉控制系统可达到良好的动、静态性能和鲁棒性。
An intelligent PID controller was proposed for a CaC2 furnace system with three-phase current coupled. Using genetic algorithm with real number coding, a group of optimal parameters of this intelligent PID controller were obtained, which are used as the original values for the real-time tuning of PID parameters. Based on the principle of integral detached, a fuzzy decoupled inference was designed for the PID parameters real-time tuning to ensure that the system response has optimal dynamic and steady-state performances. The results of computer simulation show that the intelligent PID controller has the advantages of batter dynamic, static, and robust performance over the conventional PID controllers in a CaC2 furnace control system.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2007年第7期1544-1547,共4页
Journal of System Simulation
基金
西安市工业科技攻关计划(GG200334)
关键词
遗传算法
模糊控制
积分分离
PID
电石炉
genetic algorithm
fuzzy decoupled inference
integral detached
PID
CaC2 furnace
