一种自调整模糊控制器的设计与仿真研究

提出了一种基于规则，参数自整定的模糊控制器的设计方法，它通过引入误差加权因子和误差变化率加权因子，以系统阶跃响应的上升时间和超调量为性能评价指标，并根据评价结果建立自适应算法，对模糊控制器的模糊推理规则及参数进行自调整。仿真结果进行表明，误差变化率加权因子以明显改善模糊控制器的稳定性，性能评价指标函数，模糊推理规则和参数调整算法简单实用，便于实现，对被控对象的参数变化具有较强的适应能力，控制效果良好。

Design and Simulation for Self-tuning Fuzzy Controller

A design manner is put forward for fuzzy controller based rule self-tuning,in which the fuzzy logic rules and the parameters of fuzzy controller are tuned by introducing error factor and error-varying-rate factor. According to the rising-time and the exceeding-value of the system response to step input, a self-adaption algorithm is set up to tune the fuzzy logic rules and the parameters. Simulation result manifests that the stability of fuzzy controller is obviously improved by introducing error-varying-rate factor. The performance appraising function and the tunning algorithm of fuzzy logic rules and parameters are simple to apply. It can get good controlling effect and has a better capability of adapting the parameters varing of the controlled object.