| 基于多模糊模型的非线性预测控制 |
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| 引用本文： | 张智焕,王树青. 基于多模糊模型的非线性预测控制[J]. 信息与控制, 2001, 0(Z1) |
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| 作者姓名： | 张智焕 王树青 |
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| 作者单位： | [1]浙江大学工业控制技术国家重点实验室 [2]浙江大学工业控制技术国家重点实验室 杭州 |
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| 摘 要： | 研究了基于多模糊模型的非线性预测控制问题 ,提出了基于多模型融合的非线性预测控制方法 .首先根据实际对象在不同运行点附近的状态建立了非线性系统的线性多模糊模型表示 ,然后给出了基于多模糊模型的预测控制原理结构框图 .非线性多模糊模型被用来作为预测模型 ,CSTR过程的仿真研究表明是一种有前景的非线性预测控制方法 .
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| 关 键 词： | 多模糊模型 预测控制 非线性系统 隶属度 |
NONLINEAR MPC BASED ON MULTIPLE FUZZY MODEL |
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| ZHANG Zhi huan WANG Shi qing. NONLINEAR MPC BASED ON MULTIPLE FUZZY MODEL[J]. Information and Control, 2001, 0(Z1) |
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| Authors: | ZHANG Zhi huan WANG Shi qing |
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| Abstract: | The nonlinear predictive control method has been presented based on multiple model blend. A multiple fuzzy model structure for model predictive control has been established for a nonlinear system, and its parameters have been estimated from data generated by a rigorous model. The nonlinear multiple fuzzy model has been used for prediction in a MPC scheme. Realistic simulation for CSTR shows that multiple fuzzy model MPC (MFMPC) is an attractive option for nonlinear MPC since the scheme implies a straightforward extension of linear MPC, and the result is promising. |
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| Keywords: | multiple fuzzy model predictive control nonlinear system mumbership |
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