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摘要: 提出了一种基于模糊树模型的间接自适应模糊控制器的设计方法. 采用模糊树辨识方法离线辨识系统中的未知非线性函数, 得到初始的控制器, 然后在线调节模糊树模型中的线性参数, 改善控制器的性能, 实现对有界参考信号的跟踪控制. 通过对倒立摆系统进行数值仿真, 验证了所提方法的有效性和优越性.Abstract: The design of an indirect adaptive fuzzy controller is proposed based on the fuzzy tree model. The fuzzy tree identification method is used to off-line identify the unknown nonlinear parts of nonlinear systems. Then the linear parameters of the fuzzy tree model are on-line tuned to improve the performance of the controller and to trace the bounded reference trajectory. The numerical simulation of controlling an inverted pendulum verifies the efficiency and advantage of the proposed method.
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Key words:
- Fuzzy tree model /
- T-S fuzzy model /
- adaptive control /
- indirect adaptive fuzzy control
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