一种新型多变量模糊自适应控制系统的研究
A New Multivariable Fuzzy Self-Tuning Control System
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摘要: 针对多变量非线性系统,提出了一种基于动态耦合特性的两级串联结构的模糊自校 正控制器,并提出了基于动态灵敏度矩阵和在线测量的自学习算法.同时利用一种智能梯度 法确定自校正学习迭代步长.仿真结果表明,算法的收敛性和系统的稳定性均有所改善.利用 这些控制策略,可以较好地解决化工反应器等复杂对象的过程控制问题.Abstract: In this paper a cascade-connected self-tuning controller based on dynamic coulped characteristics for multi-variable nonlinear system is proposed. A selfLearning algorithm based on dynamic sensitivity matrix and on-line measurement is also given. An intelligent gradient approach is used to determine the step length of the iterative self-learning algorithm. By using the control strategies given in this paper the process control for complex plant such as chemical reactors can successfully be solved.
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