| 一种自适应性神经元控制器研究 |
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| 引用本文： | 丁晓贵.一种自适应性神经元控制器研究[J].安庆师范学院学报(自然科学版),2008,14(4). |
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| 作者姓名： | 丁晓贵 |
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| 作者单位： | 安庆师范学院计算机与信息学院,安徽安庆,246133 |
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| 摘 要： | 经典的控制器参数的整定过于依赖控制对象的数学模型,不便在线调整。为了解决这一问题,提出一种自适应性PID神经元控制器。在PID控制原理的基础上,充分利用神经网络用于非线性控制的特性,对神经元赋予了比例、积分和微分的功能。采用可微可导的激励函数,通过反向传播算法,实现了控制器参数的在线调整。仿真实例证明PID神经网络控制器具有较好的自适应性和抗干扰能力。
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| 关 键 词： | 神经网络 PID控制器 自适应性 BP算法 仿真 |
Study on the Self-adapting Neural Network Controller |
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| DING Xiao-gui.Study on the Self-adapting Neural Network Controller[J].Journal of Anqing Teachers College(Natural Science Edition),2008,14(4). |
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| Authors: | DING Xiao-gui |
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| Institution: | DING Xiao-gui (School of Computer , Information,AnqingTeachers College,Anqing 246133,China) |
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| Abstract: | The parameter of classical controller depends on its mathematics model strongly.It's not convenient to adjust parameters especially online.In order to solve the problem,it brings forward a kind of improved PID neural network self-adapting controller.Based on the PID control principle,one takes full advantage of the neural network characteristic,and defines the function of Proportional-Integral-Derivative for the neural cell.Moreover,one introduces the function which can derivative,uses back-propagation algo... |
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| Keywords: | neural network PID controller self-adapting BP algorithm simulation |
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