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单元机组的T-S模糊协调控制系统及其LMI分析 被引量:17

T-S FUZZY COORDINATED CONTROL SYSTEM FOR POWER UNIT AND ITS ANALYSIS USING LMI
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摘要 针对多输入多输出非线性锅炉-汽机系统在大范围运行工况下参数发生变化的情况,设计了基于渐近跟踪控制的T-S模糊控制系统。该方法把非线性系统在一些选定工况点进行线性化,针对每一个线性化模型设计了局部渐近跟踪控制器。在此基础上,以汽包压力为前件,局部渐近跟踪控制器为后件,构造T-S模糊控制系统。采用线性矩阵不等式(LMI)方法进行了稳定性分析,保证了此控制系统的人范围稳定性。仿真结果验证了这种控制系统能够在大范围运行工况下工作良好。 A T-S fuzzy control system based on asymptotic tracking control is designed for a MIMO nonlinear boiler-turbine system whose parameters vary under the operating condition within wide range. Linear models are first derived from the original nonlinear model on several operating points. Then local asymptotic tracking controllers are designed for each linear model. Based on the above work, the T-S fuzzy control system is constructed with the drum pressure as the premises and the local asymptotic tracking controller as the consequents. The stability of this control system in the large is guaranteed by means of analysis using linear matrix inequality (LMI) approach. The simulation results demonstrate that the control system works well over a wide region of operation.
出处 《中国电机工程学报》 EI CSCD 北大核心 2005年第19期91-95,共5页 Proceedings of the CSEE
关键词 锅炉 汽轮机 协调控制 渐近跟踪控制 多模型 T—S模糊控制 线性矩阵不等式 Boiler Turbine Coordinated control Asymptotic tracking control Multiple models T-S fuzzy control LMI
作者简介 栾秀春(1975-),男,博士研究生,研究方向为模糊控制、多模型自适应控制及其在热工过程控制中的应用。 李士勇(1943-),男,教授,博士生导师,研究方向为模糊控制,神经控制,智能控制及智能优化算法,非线性科学及复杂系统理论。
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参考文献16

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