摘要
针对模糊内模控制算法中模型的建立及模型求逆困难的问题,对一种模糊建模方法进行了改进,在此基础上提出了一种基于T-S模型的内模控制方法。采用启发性知识与复合非线性优化方法相结合的综合方法求解出模糊模型的结构,由模糊辨识获得过程的T-S模型和逆模型,并以此为基础建立内模控制算法。将该算法分别应用于慢时变非线性对象和具有大时延大惯性的热工系统主蒸汽温度的控制,仿真结果表明了该方法具有结构简单,计算效率高等优点,有利于在线应用。
It is very difficult to get accurate model of object when controlling the system with IMC. We improved one of the T - S fuzzy modeling solutions in this paper, and then an Internal Model Control based on T - S fuzzy model is proposed in this paper. The structure of fuzzy model is obtained by integrated method. Both the model of the process and its inverse model can be got by fuzzy modeling. Internal model control algorithm is constructed based on the model. Simulation results for a time - varying non - linear system and the Main Steam process of a thermal power plant show that the strategy is effective and can be used on - line.
出处
《计算机仿真》
CSCD
2006年第12期205-208,共4页
Computer Simulation
关键词
模糊建模
模型
内模控制
辨识
Fuzzy modeling
Model
Internal model control
Identification
