| 挠性结构非线性PID控制研究 |
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| 引用本文： | 李广军,张晶. 挠性结构非线性PID控制研究[J]. 测控技术, 2007, 26(12): 42-44 |
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| 作者姓名： | 李广军 张晶 |
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| 作者单位： | 宜宾学院,计算机科学与技术系,四川,宜宾,644000;宜宾学院,计算机科学与技术系,四川,宜宾,644000 |
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| 摘 要： | 对于挠性结构系统，其模型很难精确建立，传统PID控制已不能满足控制要求。为此，采用非线性PID控制对挠性结构的弹性振动进行抑制，并引入RBF神经网络对系统进行辨识，从而能够实时地对非线性PID的参数进行在线调整，克服了传统PID控制的不足，增强控制系统的抗干扰能力，仿真证明了本方法的有效性。
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| 关 键 词： | 非线性PID控制 弹性振动 RBF神经网络 |
| 文章编号： | 1000-8829(2007)12-0042-03 |
| 修稿时间： | 2006-08-02 |
Nolinear PID Control Research for Flexible Structure |
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| LI Guan-jun,ZHANG Jing. Nolinear PID Control Research for Flexible Structure[J]. Measurement & Control Technology, 2007, 26(12): 42-44 |
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| Authors: | LI Guan-jun ZHANG Jing |
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| Abstract: | Since there exist many certainties in the model of flexible structure,traditional PID control arithmetic can not meet control requirement.In order to suppress vibration of flexible structure,a nonlinear PID controller to make up the deficiency of traditional PID arithmetic is used and the stability is analyzed by Lyapunov theory.In addition,RBF neural network is introduced in controller to tune up the parameter of nonlinear PID,so the control system has particularly good transition process.The validity of this scheme is validated by simulation at last. |
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| Keywords: | nonlinear PID control flexible vibration RBF neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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