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针对一类非线性动态过程提出了基于模糊模型的非线性内模控制算法(NFIMC)。NFIMC控制器包括逆模糊模型控制器和滤波器。过程的模糊模型和逆模糊模型均可由模糊辨识获得。CSTR的仿真结果表明:该算法可以对强非线性过程实现有效控制,并且具有结构简单、计算效率高等优点,有利于在线应用。
A nonlinear internal model control algorithm (NFIMC) based on fuzzy model is proposed for a class of nonlinear dynamic processes. The NFIMC controller includes an inverse fuzzy model controller and filter. The fuzzy model and the inverse fuzzy model of the process can all be obtained by fuzzy identification. The simulation results of CSTR show that this algorithm can effectively control the strong nonlinear process and has the advantages of simple structure and high computational efficiency, which is good for online application.