基于遗传算法的阀控马达调速系统的优化设计  

Optimum Design of Valve-controlled Motor Speed Governing System Based on Genetic Algorithms

作　　者：毕世书[1] 汤炳新[1] 夏明[1] 朱振泱[2] 

机构地区：[1]河海大学机电工程学院,江苏常州213022 [2]河海大学水利水电工程学院,江苏南京210001

出　　处：《机床与液压》2010年第19期58-60,共3页Machine Tool & Hydraulics

基　　金：国家自然科学基金重点项目(50539020)

摘　　要：提出一种基于遗传算法的阀控马达调速系统的PID参数在线寻优方法,利用遗传算法的全局搜索能力,降低PID参数整定的难度,提高系统控制精度,并在Matlab平台上完成优化计算和实验验证。实验结果表明:根据遗传算法寻优设计的PID控制器具有较强的鲁棒性,控制系统具有良好的动态品质和稳态精度。Based on genetic algorithms, an online optimizing method for PID paramenters of valve-controlled motor speed governing system was presented. The difficulty in PID parameter adjusting was reduced and the control precision of the system was improved using the global search capability of genetic algorithm. The experimental results and optimization calculation implemented on Matlab platform show that the designed PID controller has high robustness. The control system shows a very good dynamic quality and stable precision.

关 键 词：遗传算法 在线寻优 阀控马达 调速 PID控制 

分 类 号：TP214[自动化与计算机技术—检测技术与自动化装置]