| 一种时变非线性对象神经网络PID控制的仿真 |
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| 引用本文： | 张兴,戴莹,李争. 一种时变非线性对象神经网络PID控制的仿真[J]. 合肥工业大学学报(自然科学版), 2006, 29(11): 1375-1379 |
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| 作者姓名： | 张兴 戴莹 李争 |
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| 作者单位： | 合肥工业大学,电气与自动化工程学院,安徽,合肥,230009;合肥工业大学,电气与自动化工程学院,安徽,合肥,230009;合肥工业大学,电气与自动化工程学院,安徽,合肥,230009 |
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| 摘 要： | 利用BP神经网络对被控对象进行了控制和辨识,提出了一种基于BP神经网络的PID控制器;给出了相应的控制算法;并对典型的参数时变非线性系统的控制进行了仿真研究。仿真结果表明,同传统PID控制器相比,神经网络PID控制器对于模型、环境具有较好的适应能力与较强的鲁棒性,证明了神经网络控制的优越性。
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| 关 键 词： | PID控制 神经网络 BP算法 仿真 |
| 文章编号： | 1003-5060(2006)11-1375-05 |
| 修稿时间： | 2005-12-01 |
Simulation study on the neutral network PID controller for time-variable nonlinear objects |
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| ZHANG Xing,DAI Ying,LI Zheng. Simulation study on the neutral network PID controller for time-variable nonlinear objects[J]. Journal of Hefei University of Technology(Natural Science), 2006, 29(11): 1375-1379 |
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| Authors: | ZHANG Xing DAI Ying LI Zheng |
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| Abstract: | An approach which utilizes the BP neural network for process identification and control is presented.A PID controller based on the proposed neural adaptive control scheme is proposed,and the corresponding algorithm is given.The performance of a typical time-variable nonlinear system is simulated by using the neutral network PID controller.The simulation results show that the neutral network controller can improve the robustness of the system and has better adaptability to the model and environment than the classical PID controller. |
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| Keywords: | PID control neutral network BP algorithm simulation |
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