基于基本遗传算法的PID参数整定  

Adjustment of PID Parameter Based on the Basic Genetic Algorithm

作　　者：钟子良 刘艳宾[2] 

机构地区：[1]江西应用工程职业学院,江西萍乡337000 [2]郑州铁路职业技术学院,河南郑州450052

出　　处：《萍乡高等专科学校学报》2013年第6期46-49,共4页Journal of Pingxiang College

摘　　要：多目标优化问题一直是控制领域的重要研究问题。本文主要利用基本遗传算法来解决其中的参数优化问题。采用误差绝对值时间积分性能指标作为参数选择的最小目标函数,采用轮盘转的方法提高遗传算法的全局优化能力。最后,通过MATLAB仿真结果表明,根据遗传算法寻优设计的PID控制器比人为的通过调试或经验取得的数据更有说服力,控制效果更好。Multi-objective optimization problem has been a key problem in the researching field of control. This paper mainly applies basic genetic algorithm to solving the parameter optimization. The error absolute value time integral performance index is used as minimum objective function of the parameter selection. In order to improve the global optimization capability, the roulette turn method is applied to genetic algorithm. Finally, the results of simulation by MATLAB show that PID controller according to genetic algorithm optimization design is more convincing and have better control effect.

关 键 词：遗传算法 优化 鲁棒性 目标函数 

分 类 号：TP273.1[自动化与计算机技术—检测技术与自动化装置]