| 神经网络控制、无模型控制PID控制仿真比较 |
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| 引用本文： | 朱娟萍,侯忠生,熊丹.神经网络控制、无模型控制PID控制仿真比较[J].系统仿真学报,2005,17(3):751-754,766. |
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| 作者姓名： | 朱娟萍 侯忠生 熊丹 |
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| 作者单位： | 1. 云南大学数学系,昆明,650091
2. 北京交通大学电子与信息工程学院,北京,100044 |
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| 基金项目： | 云南大学理(工)科校级科研项目(2003Q030C) |
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| 摘 要： | 在同一条件下，对三种仅用受控系统I／O数据来设计控制器的方法进行了控制性能仿真比较，三个受控系统分别取自文1]和5]。三种不同的控制方法各有其优缺点，仿真结果表明：无模型自适应控制具有其他两种方法所不具备的优点，适合处理结构时变、参数时变、阶教时变非线性离散时间系统的控制问题。
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| 关 键 词： | 神经网络控制 NARMA 无模型自适应控制 PID控制 非线性系统 |
| 文章编号： | 1004-731X(2005)03-0751-05 |
Simulation Comparisons among Neural Networks Control, Model-free Adaptive Control and PID Control |
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| ZHU Juan-ping,HOU Zhong-sheng,XIONG Dan.Simulation Comparisons among Neural Networks Control, Model-free Adaptive Control and PID Control[J].Journal of System Simulation,2005,17(3):751-754,766. |
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| Authors: | ZHU Juan-ping HOU Zhong-sheng XIONG Dan |
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| Affiliation: | ZHU Juan-ping1,HOU Zhong-sheng2,XIONG Dan2 |
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| Abstract: | Under the identical conditions, three different control strategies only using I/O data are compared through simulations. The three controlled systems are taken from Ref.1] and Ref.5], each of which has its own advantages and shortcomings. Simulation results indicate that the model-free control method is superior to the other two methods because it can deal well with the control problem of the discrete time nonlinear plant whose structure, parameters and order are time-varying. |
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| Keywords: | neural networks control NARMA model-free adaptive control PID control nonlinear system |
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