节点文献
基于T-S模糊模型的预测控制方法研究
Research on predictive control method based on T-S fuzzy model
【摘要】 采用T-S模糊模型与预测控制相结合,对模糊预测控制进行了研究。利用模糊聚类和递推最小二乘法辨识T-S模糊模型,并将其作为预测模型。利用T-S模糊模型对非线性系统的良好描述特性,结合预测控制的线性滚动优化,实现对强非线性系统的控制。仿真结果表明了该算法的有效性。
【Abstract】 A fuzzy predictive control is developed by combining T-S fuzzy model with predictive control.Parameters of T-S fuzzy model are identified by using fuzzy clustering and recursive least square method,and the model is imported to predictive control.The approach utilizes the advantages of both fuzzy modeling of nonlinear processes and moving horizon optimization of predictive control to control the strong nonlinear system.The simulation results show that the proposed algorithm is effective.
【关键词】 T-S模糊模型;
非线性系统;
模糊预测控制;
【Key words】 T-S fuzzy model; nonlinear system; fuzzy predictive control;
【Key words】 T-S fuzzy model; nonlinear system; fuzzy predictive control;
- 【文献出处】 信息技术 ,Information Technology , 编辑部邮箱 ,2009年12期
- 【分类号】O231.2
- 【被引频次】5
- 【下载频次】208