交流电力测功机的支持向量机模糊PID控制策略  

SVR-fuzzy-PID strategy of AC electrical dynamometer

作　　者：钟定清[1,2] 王艾伦[1] 何谦 魏克湘[2] 唐勇[1] ZHONG Dingqing;WANG Ailun;HE Qian;WEI Kexiang;TANG Yong(School of Mechanical and Electrical Engineering,Central South University,Changsha 410083,China;School of Mechanical Engineering,Hunan Institute of Engineering,Xiangtan 411104,China)

机构地区：[1]中南大学机电工程学院,湖南长沙410083 [2]湖南工程学院机械工程学院,湖南湘潭411104

出　　处：《中南大学学报（自然科学版）》2020年第3期661-667,共7页Journal of Central South University:Science and Technology

基　　金：国家自然科学基金资助项目(11772126);湘潭市创新型省市建设专项(CG-YB20191011)。

摘　　要：为了提高交流电力测功机运行的稳定性和控制精度,将支持向量回归预测(support vector regression,SVR)、模糊控制、PID控制等相结合,提出一种支持向量机模糊PID控制策略(SVR-fuzzy-PID)。该控制策略首先建立模糊规则,并通过模糊规则调节PID控制器的比例系数、积分系数、微分系数,然后,通过PID控制器控制输出量,在反馈环节利用支持向量回归预测模型预测控制对象在一定时间后的反馈量,并将预测值代替反馈值,从而实现“超前”控制,以解决传统控制系统的控制滞后问题。研究结果表明:该控制策略设计的交流电力测功机系统控制系统比传统的控制系统具有更加优良的性能,可实现交流电力测功机系统的快速和稳定控制。In order to improve the stability and control accuracy of alternating current(AC)electrical dynamometer,a SVR-fuzzy-PID based control strategy was proposed through combing the theories of SVR(support vector regression)prediction,fuzzy control and PID control.In this control strategy,fuzzy rule was firstly established,which was used to adjust scale,integral and differential coefficients to control the output of PID controller.The SVM(support vector machine)prediction model was applied to predict the feedback of controlled objects to realize the advanced control and solve the problem of control delay.The results show the proposed control strategy presents a better control performance for alternating current electrical dynamometer compared to traditional control strategy,which can realize the fast and stable control of alternating current electrical dynamometer.

关 键 词：支持向量机 模糊控制 PID控制 交流电力测功机 

分 类 号：TH6[机械工程—机械制造及自动化]