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论文:2012,Vol:30,Issue(6):936-940 |
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引用本文: |
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袁朝辉, 陈韶千, 杨芳. 基于解耦设计的多变量IGPC控制方法的研究与应用[J]. 西北工业大学 |
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Yuan Chaohui, Chen Shaoqian, Yang Fang. A Better Multivariable Implicit Generalized Predictive Control (IGPC) Based on Decoupling Design[J]. Northwestern polytechnical university |
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基于解耦设计的多变量IGPC控制方法的研究与应用 |
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袁朝辉, 陈韶千, 杨芳 |
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西北工业大学 自动化学院, 陕西 西安 710072 |
摘要: |
针对多变量工业过程中存在的耦合性、建模困难以及不确定性的控制难点,论文研究了基于解耦设计的多变量隐式广义预测控制。该方法利用加权最小二乘递推方法根据输入输出数据直接辨识系统参数,这样就降低了控制器设计的复杂性;采用分散设计的方式来降低各通道间的关联关系。论文利用基于最小二乘方法,根据输入输出数据来建立被控对象的数学模型,并在此基础上对控制方法进行了仿真分析与试验研究,结果表明该方法具有良好的控制效果。 |
关键词:
多变量系统
解耦设计
隐式广义预测控制
系统辨识
温度控制
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A Better Multivariable Implicit Generalized Predictive Control (IGPC) Based on Decoupling Design |
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Yuan Chaohui, Chen Shaoqian, Yang Fang |
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Department of Automatic Control,Northwestern Polytechnical University,Xi'an 710072,China |
Abstract: |
To address the control problems of multivariable industrial system with coupling and nonlinearities,wepresent our IGPC method for dealing with them. Sections 1 and 2 of the full paper explain our IGPC method,whichwe believe is better than existing ones. The core of sections 1 and 2 consists of: (1) according to input and outputdata,the parameters of optimal control law can be identified through use of least squares approximation; (2) usingdecentralized objective function,we apply the decoupling IGPC to control a multivariable system; (3) recursiveweighted least squares (RWLS) method is used to establish the mathematic model of system. Simulation and exper-imental results,presented respectively in Fig. 1 and Fig. 2,and their analysis show preliminarily that our IGPCmethod is indeed better than previous ones. |
Key words:
computer simulation
design
experiments
identification (control systems)
least squares approxima-tions
mathematical models
multivariable systems
nonlinear systems
optimization
parameter ex-traction
temperature control;decoupling
implicit generalized predictive control(IGPC)
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收稿日期: 2011-12-08
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作者简介: 袁朝辉(1964-),西北工业大学教授,主要从事飞机液压系统、伺服系统及测控等的研究。
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陈韶千 在本刊中的所有文章 |
杨芳 在本刊中的所有文章 |
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参考文献: |
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