【摘要】 对于不确定时滞对象 ,提出了一种模糊神经网络自适应调整PID参数的控制方法 ,利用模糊逻辑实现了模糊化 ,利用多层BP神经网络来实现模糊推理。该网络通过学习并记忆PID参数调整规则 ,实现了在线调整PID参数。通过对一类不确定时滞系统的仿真 ,验证了该方法具有较好的控制效果。更多还原

【Abstract】 For undetermined time lag objects, a control method of fuzzy neural network self-adaptive adjustment of PID parameters is stated. Fuzzyness is implemented by using fuzzy logic, and fuzzy inference is implemented by using multiple layer BP neural network. Through learning and remembering the adjusting rule of PID parameters, the PID parameters are adjusted on line by the network. By simulation on an undetermined time lag system, the method is proved with good control effects.更多还原