| 基于T-S模型的自适应多变量模糊预测控制 |
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| 引用本文： | 刘福才,任丽娜,路平立. 基于T-S模型的自适应多变量模糊预测控制[J]. 系统工程与电子技术, 2010, 32(12): 2660-2663. DOI: 10.3969/j.issn.1001-506X.2010.12.34 |
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| 作者姓名： | 刘福才 任丽娜 路平立 |
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| 作者单位： | 1. 燕山大学工业计算机控制工程河北省重点实验室， 河北 秦皇岛 066004；;2. 北京理工大学自动化学院， 北京 100081 |
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| 摘 要： | 针对多变量非线性系统的控制问题，提出了一种具有良好控制效果的模糊预测控制方法。首先采用快速聚类法和递推最小二乘法辨识得到非线性系统的T-S模型，然后对系统进行线性化，并基于线性化的模型设计模糊广义预测控制器并对非线性对象进行在线自适应控制。对一个带时延的强耦合二变量非线性对象进行仿真，结果表明对于具有时变性的非线性系统，该方法具有很好的控制效果。
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| 关 键 词： | T-S模型 快速模糊聚类 广义预测控制 自适应控制 |
Multivariable adaptive fuzzy predictive control based on T-S model |
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| LIU Fu-cai,REN Li-na,LU Ping-li. Multivariable adaptive fuzzy predictive control based on T-S model[J]. System Engineering and Electronics, 2010, 32(12): 2660-2663. DOI: 10.3969/j.issn.1001-506X.2010.12.34 |
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| Authors: | LIU Fu-cai REN Li-na LU Ping-li |
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| Affiliation: | 1. Key Lab. of Industrial Computer Control Engineering of Hebei Province, Yanshan Univ., Qinhuangdao 066004， China；;2. Coll. of Automation, Beijing Inst. of Technology, Beijing 100081, China |
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| Abstract: | A very good control effect algorithm of fuzzy predictive control based on nonlinear multivariable system is presented. Firstly, the nonlinear system of T-S model is identified by fast clustering and recursive least square method, and the linear model is gotten. Then the fuzzy generalized predictive controller based on linear system is designed to control the nonlinear object adaptively. The simulations for the variable nonlinear object with delay time and strong coupling show that this algorithm has good control effects. |
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| Keywords: | T-S model fast fuzzy clustering generalized predictive control adaptive control |
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