| 引用本文: | 王 寅,荣 冈,王树青.基于T-S模糊模型的非线性预测控制策略[J].控制理论与应用,2002,19(4):599~603.[点击复制] |
| WANG Yin,RONG Gang,WANG Shu-qing.Nonlinear predictive control strategy based on T-S fuzzy model[J].Control Theory and Technology,2002,19(4):599~603.[点击复制] |
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| 基于T-S模糊模型的非线性预测控制策略 |
| Nonlinear predictive control strategy based on T-S fuzzy model |
| 摘要点击 2250 全文点击 1817 投稿时间：1999-12-21 修订日期：2001-03-05 |
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| DOI编号 10.7641/j.issn.1000-8152.2002.4.024 |
| 2002,19(4):599-603 |
| 中文关键词 模糊模型 非线性 预测控制 pH中和过程 |
| 英文关键词 fuzzy model nonlinear predictive control pH neutralization process |
| 基金项目 国家863现代集成制造系统技术主题基金(2001AA411210)资助项目. |
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| 中文摘要 |
| 提出了一种新的基于T-S模糊模型的非线性预测控制策略. T-S模糊模型用于描述对象的非线性动态特性, 通过将模糊模型的输出反馈回来作为模型输入, 从而构成了模糊多步预报器. 由于T-S模糊模型每条规则的结论部分是一个线性模型, 因此整个模糊模型可以看作一个线性时变系统, 从而将模糊预测控制器中的非线性优化问题转化为一个线性二次寻优问题, 以方便求解. pH中和过程的仿真结果表明其性能优于传统的动态矩阵控制器. |
| 英文摘要 |
| A nonlinear model predictive control (NMPC) strategy based on T-S fuzzy model is proposed. T-S fuzzy model is used to approximate the dynamics of nonlinear processes. By feeding the output of the fuzzy model as the model input in a cascade way, a multi-step fuzzy predictor is derived. Since the conclusion part is linear, the T-S fuzzy model can be treated as a linear time-varying system, the nonlinear program in NMPC turns into a linear quadratic problem that can be easily solved. Simulation result on a pH neutralization process demonstrates its control performance is superior to conventional DMC controller. |