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针对电解加工过程中由加工参数相互影响导致的系统复杂性和不确定性 ,结合模糊控制的推理特性、神经网络自适应和并行运算的特点 ,设计了利用神经网络反馈学习调整模糊控制器结构参数的模糊神经网络控制器 .仿真试验表明 ,该控制器能够较好地完成控制任务 .
Aiming at the complexity and uncertainty of the system caused by the mutual influence of the processing parameters during the electro-machining process, combined with the characteristics of the inference of the fuzzy control, the self-adaptation of the neural network and the parallel computing, the neural network feedback learning is used to adjust the structural parameters of the fuzzy controller Fuzzy neural network controller.The simulation results show that the controller can accomplish the control task well.