【摘要】 利用动态神经网络所具有的并行处理、分布式信息存贮、自学习自适应的特点,实现了对结构复杂、干扰大且控制精度要求高的变频调速系统的控制.仿真结果表明,控制方法具有很强的自学习和抗干扰能力.与PID控制作对比研究的结果表明,神经模糊控制超调小、响应快、无静差、鲁棒性强,具有较好的动、静态品质.更多还原

【Abstract】 The paper makes use of dynamic NNs features,such as parallel processing, distributed information store,self-study and adaptation and achieves speed-control by frequency variation that has intricate structure,strong disturbance and requires high control accuracy. Simulation proves that the controlling method has very strong self-study and interference-free features.The result of contrast with PID control proves that the nerve fuzzy control has diminutive overshot,quick response,strong robustness and preferably dynamic and static state quality.更多还原