基于自适应伪并行遗传算法的PID参数整定  

PID Parameter Tuning Based on Adaptive Pseudo-parallel Genetic Algorithm

作　　者：刘宏波[1] 

机构地区：[1]华北制药华盈有限公司,石家庄050035

出　　处：《化工自动化及仪表》2008年第3期31-33,共3页Control and Instruments in Chemical Industry

摘　　要：为了克服基本遗传算法局部搜索能力差和存在未成熟收敛等问题,引入新的种群多样性的度量方法,应用于交叉算子和变异算子,使得交叉算子和变异算子根据种群多样性的变化而变化。提出并行遗传算法的思想,并用于PID参数整定。设计了采用伪并行遗传算法进行PID参数优化的步骤。仿真结果表明该方法是可行的,不但解决了基本遗传算法存在的缺陷和不足,而且也提高了寻优精度和快速性。In order to overcome the problems of poor local search capabilities and premature convergence of basic genetic algorithm, a new measurement method for species diversification was suggested. Cross operator and variation operator would vary with the variation of species diversification by using this method. A parallel genetic algorithm was presented and was applied to PID parameter tuning. The procedures for PID parameter optimization using pseudo-par- allel genetic algorithm was designed. The simulation results show that this method is feasible and solves the shortcoming consists in basic genetic algorithm and improves the accuracy and speed for optimizing.

关 键 词：遗传算法 自适应伪并行 PID控制器 仿真 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]