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基于T-S模糊模型的直接自适应预测控制
引用本文:马俪娜,苏成利. 基于T-S模糊模型的直接自适应预测控制[J]. 抚顺石油学院学报, 2012, 0(1): 78-83
作者姓名:马俪娜  苏成利
作者单位:辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001
基金项目:辽宁省自然科学基金项目(20102127); 辽宁省高校创新团队支持计划项目(2009T062;LT2010058)
摘    要:提出一种基于T-S模糊模型的直接自适应预测控制算法。该算法利用加权递推最小二乘法在线辨识T-S模糊模型的后件参数。用已经辨识好的参数,进行直接迭代计算,直接得到模型的预测输出。此算法很好地解决了非线性预测控制中,建模与优化两大难题,为非线性系统的高精度控制提供了保证。计算机仿真表明,该算法具有较好的跟踪性能。

关 键 词:非线性系统  T-S模糊模型  预测控制  自适应控制

Direct Adaptive Predictive Control Based on T-S Fuzzy Model
MA Li-na,SU Cheng-li. Direct Adaptive Predictive Control Based on T-S Fuzzy Model[J]. Journal of Fushun Petroleum Institute, 2012, 0(1): 78-83
Authors:MA Li-na  SU Cheng-li
Affiliation:(School of Information and Control Engineering,Liaoning Shihua University,Fushun Liaoning 113001,P.R.China)
Abstract:A direct adaptive predictive control based on T-S fuzzy model was proposed.The structure parameters of T-S fuzzy model were identified online using the weighted recursive least squares method.The identified parameters of fuzzy model were used to directly receive the model predicted output with direct iterative for the T-S model.The algorithm is a good way to resolve the two major problems,modeling and optimization,and provide a guarantee for high-precision control of nonlinear systems.Simulation result shows that the proposed algorithm is an effective control strategy with excellent tracing ability.
Keywords:Nonlinear system  T-S fuzzy model  Predictive control  Adaptive control
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