Design of Control Based on Adaptive Artificial Neural Network
, 2012 提出了一种自适应人工神经网络无刷直流电动机(bldCM)转速控制器设计方法;针对传统PId调节器难以应对系统超调和短时振荡等问题,提出了一种结合人工神经网络和传统PId控制的新方法;首先建立了(bldCM)的本体数学模型,在此基础上描述了将人工神经网络和PId控制相结合的模型,并对具体的控制算法进行了定义;最后,使用MATlAb仿真工具对bldCM控制实例进行了仿真;实验结果表明,结合人工神经网络和PId控制器的新控制方法具有响应快、鲁棒性强以及控制精度高等优点,很好地抑制了超调和振荡。A design
瞿小宁, 李绍滋
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