基于置信规则库的控制器及控制系统仿真  

Belief Rule Base-based Controller and Control System Simulation

作　　者：徐晓滨[1] 李世宝[1] 马雪[1] 王双中[1] 

机构地区：[1]杭州电子科技大学自动化学院,浙江杭州310018

出　　处：《杭州电子科技大学学报（自然科学版）》2016年第3期78-83,共6页Journal of Hangzhou Dianzi University：Natural Sciences

基　　金：国家自然科学基金资助项目(61374123;61573275;61573076)

摘　　要：针对被控对象系统参数不确定性变化的情况,设计一种基于置信规则库(BRB)的控制器.首先建立置信规则库描述控制器输入量与输出量之间的复杂非线性关系,然后给出非线性学习模型,解决专家给定初始BRB参数的优化问题.用训练后BRB的输出控制被控对象动作.利用Simulink设计出BRB控制模块,并通过在变参数他励直流电动机转速控制中的仿真实验,说明了所提方法的有效性.This paper presents a BRB-based controller to deal with the controlled object system with uncertain parameters. The belief rule base （BRB） can be used to model the complex nonlinear relationship between inputs and output. A nonlinear learning model is constructed to optimize the initial parameters of BRB. The outputs generated by the optimized BRB controller can be used as a controlled object input and generates control action. In Simulink environment, the BRB control module is designed, and the control experiments on the excited DC motor with uncertain parameters are presented to illustrate the effectiveness of the proposed method. It further presents the details of the closed-loop control system simulation model based on the BRB-based controller, which can be applied not only to the design of industrial control systems, but also to the automation-related experimental teaching for undergraduate or graduate students so that they can master this kind of the advanced controller design approach considering expertise＇s experiences.

关 键 词：置信规则库推理 控制系统仿真 PID控制器 证据推理规则 他励直流电动机 

分 类 号：TP273.3[自动化与计算机技术—检测技术与自动化装置]