| 专家控制与神经元控制结合算法的研究 |
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| 引用本文： | 王永黎,张晓兰,徐桂英,涂健.专家控制与神经元控制结合算法的研究[J].华中科技大学学报(自然科学版),1994(8). |
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| 作者姓名： | 王永黎 张晓兰 徐桂英 涂健 |
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| 作者单位： | 华中理工大学自动控制工程系 |
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| 摘 要： | 提出了一种改进的神经元控制算法，此算法采用专家控制与神经元控制相结合的方法，有效地解决了神经元网络控制时学习速度较慢、动态响应过程长、克服扰动不力等问题，具有较强的鲁棒性。控制性能优于经典ＰＩＤ方法。典型工业过程对象的仿真表明了本算法的可行性和有效性。
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| 关 键 词： | 神经元 专家控制 鲁棒性 动态响应 |
On a Combined Algorithm with Expert Control and Neuron Control |
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| Wang YongjiDept.of Auto. Contr. Engin.,H. U. S.T.,Wuhan ,China., Zhang Xiaolan, Xu Guiying, Tu Jian.On a Combined Algorithm with Expert Control and Neuron Control[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1994(8). |
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| Authors: | Wang YongjiDeptof Auto Contr Engin H U ST Wuhan China Zhang Xiaolan Xu Guiying Tu Jian |
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| Institution: | Wang YongjiDept.of Auto. Contr. Engin.,H. U. S.T.,Wuhan 430074,China., Zhang Xiaolan, Xu Guiying, Tu Jian |
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| Abstract: | An improved neuron control algorithm is presented,in which the proportional coeffi-cient of neuron(K)is chosen according to error feedback by the expert control idea,Nonlin-ear transformation is used to strengthen the neuron control sensitivity to small deviation. The learning rate,dynamic response as well as the anti-disturbance ability have all beengreatly improved;The new algorithm has strong robustness and the performance is found tobe better than that of the classical PID method.Based on the simulations carried out on typi-cal 2 nd order plus pure lag object,the effectiveness and feasibility of the algorithm are veri-fied. |
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| Keywords: | neuron expert control robustness dynamic response |
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