| 非线性系统基于T-S模型的广义预测控制 |
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| 引用本文： | 张伟,张蛟龙,宋运忠.非线性系统基于T-S模型的广义预测控制[J].自动化技术与应用,2009,28(8):1-3. |
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| 作者姓名： | 张伟 张蛟龙 宋运忠 |
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| 作者单位： | 河南理工大学,电气工程与自动化学院,河南,焦作,454000 |
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| 基金项目： | 河南省教育厅自然科学研究资助计划项目 |
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| 摘 要： | 对一类非线性系统，采用一种快速的模糊辨识方法离线建立系统的T—S模型，在采样点处根据辨识模型进行动态线性化处理，进而采取广义预测控制策略，同时为了适应系统的不确定性和扰动引起的变化，进一步提高控制效果，提出以模糊补偿作为在线辅助修正的策略。仿真研究表明所提方法有效。
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| 关 键 词： | T—S模型 广义预测控制 模糊补偿 |
Generalized Predictive Control of a Nonlinear System Based on T-S Fuzzy Model |
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| ZHANG Wei,ZHANG Jiao-long,SONG Yun-zhong.Generalized Predictive Control of a Nonlinear System Based on T-S Fuzzy Model[J].Techniques of Automation and Applications,2009,28(8):1-3. |
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| Authors: | ZHANG Wei ZHANG Jiao-long SONG Yun-zhong |
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| Affiliation: | ( School of Electrical Engineering ＆ Automation, Henna Polytechnic University, Jiaozuo 454000 China ) |
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| Abstract: | The T-S fuzzy model of a nonlinear system is established off-line by a fast fuzzy identification method, then a generalized predictive control strategy is proposed based on the linearized model at sampling point. An auxiliary fuzzy compensation mehtod is used to compensate the uncertainty and disturbance of the system. |
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| Keywords: | T-S fuzzy model generalized predictive control fuzzy compensation method |
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