基于Petri网的非线性多变量系统解耦控制  

Decoupling control of nonlinear multivariable systems based on Petri nets

作　　者：万军[1,2] 赵不贿[1] WAN Jun;ZHAO Bu-hui(School of Electrical and Information Engineering,Urban Railway Transportation,Changzhou University,Jiangsu University,Zhenjiang 212013,China;School of Changzhou 213164,China)

机构地区：[1]江苏大学电气信息工程学院,江苏镇江212013 [2]常州大学城市轨道交通学院,江苏常州213164

出　　处：《控制与决策》2018年第9期1713-1718,共6页Control and Decision

基　　金：国家自然科学基金项目(61070058);江苏高校优势学科建设工程基金项目(苏政办发[2014]37号);江苏省普通高校研究生科研创新计划项目(CXLX13_665)

摘　　要：广义自控网系统是一类弧权值受库所控制的高级Petri网,能够简单有效地建模PID控制规律.借鉴单神经元PID控制原理,在广义自控网系统的基础上加入神经元网络的学习规则,设计基于广义自控网系统的PID控制器,并用于非线性多变量系统解耦控制.所提方法充分利用了自控网系统的特点,所设计的控制器模型能实现系统控制与参数学习的统一.结合双容水箱控制系统实例进行仿真分析,分析结果验证了所提方法的有效性.The generalized cyber net system is a kind of high-level Petri net, in which the weights are controlled by the places, and it can model the PID control law simply and effectively. Based on the single neuron PID control principle, the generalized cyber net system incorporates the learning rules of the neural network and is used to design the PID controller,which can decouple the nonlinear multivariable systems. The proposed method makes full use of the characteristics of the cyber net system, and the designed controller model realizes the unity of system control and parameter learning.The simulation analysis for the case of the double water tanks control system is carried out, and the results show the effectiveness of the proposed method.

关 键 词：PETRI网 解耦 多变量系统 PID控制 单神经元 自控网系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]