Direct Adaptive Fuzzy Predictive Control for a Class of Unknown Nonlinear Discrete Systems
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摘要: 将自适应模糊逻辑系统引入预测控制,对一类未知非线性离散系统提出了直接自适应 模糊预测控制方法.首先对被控对象提出了线性时变子模型加非线性子模型的预测模型,然后直 接利用模糊逻辑系统设计预测控制器,并基于广义误差估计值对控制器参数和广义误差估计值中 的未知向量进行自适应调整.文中证明了此方法可使广义误差估计值收敛到原点的小邻域内.Abstract: A direct adaptive fuzzy predictive control method for a class of unknown nonlinear discrete systems is presented by introducing adaptive fuzzy logic system into the predictive control strategy. In this method, the plant is represented by a predictive model of a linear time varying submodel plus a nonlinear submodel, then a fuzzy logic system is used to design the controller directly. The controller parameters and unknown vectors in the estimation of generalized error are adjusted adaptively. It is proved that the proposed method can make the estimation of generalized error converge to a small neighborhood of the origin.
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