| 基于神经网络的非线性前馈补偿广义预测自校正控制器 |
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| 引用本文： | 李翔,陈增强,袁著祉.基于神经网络的非线性前馈补偿广义预测自校正控制器[J].南开大学学报,1999,32(2):51-55. |
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| 作者姓名： | 李翔 陈增强 袁著祉 |
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| 作者单位： | 南开大学计算机与系统科学系 |
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| 基金项目： | 国家863应用基础研究项目,天津市自然科学基金 |
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| 摘 要： | 采用多层前馈网络结构进行动态建模，并用Ｄａｖｉｄｏｎ最小二乘法作为在线学习算法，将辨识后得到的模型进行线性化．基于线性化模型设计广义预测控制器。将其与非线性前馈相结合，建立了一种适合于非线性系统的前馈补偿广义预测自校正控制器．仿真结果验证了本控制器对非线性系统控制的有效性
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| 关 键 词： | 非线性控制 神经网络 广义预测控制 前馈增益补偿 自校正控制 Davidon最小二乘法 |
| 修稿时间： | 1998-07-07 |
A NEURAL NETWORK-BASED NONLINEAR FORWARD COMPENSATION GENERALIZED PREDICTIVE SELF-TUNING CONTROLLER |
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| Li Xiang,Chen Zengqiang,Yuan Zhuzhi.A NEURAL NETWORK-BASED NONLINEAR FORWARD COMPENSATION GENERALIZED PREDICTIVE SELF-TUNING CONTROLLER[J].Acta Scientiarum Naturalium University Nankaiensis,1999,32(2):51-55. |
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| Authors: | Li Xiang Chen Zengqiang Yuan Zhuzhi |
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| Abstract: | Using a multilayer forward neural networks to model the dynamic systems and Davidon least square algorithm as the networks'learning method, after identification, linearizes the obtained model. Then based upon the linear model, the generalized predictive controller is build. combining it nonlinear forward gain compensation, we constructs a forward compensation generalized predictive self tuning controller which is suitafle to nonlinear plant. The simulations verified the effectiveness of the presented controller. |
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| Keywords: | nonlinear control neural networks generalized predictive control forward gain compensation self tuning control Davidon least square |
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