| 一种神经元控制模型参考自适应伺服系统 |
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| 引用本文： | 冯国楠,张力.一种神经元控制模型参考自适应伺服系统[J].控制与决策,1997,12(4):312-316. |
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| 作者姓名： | 冯国楠 张力 |
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| 作者单位： | 北京工业大学自动化系!100022 |
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| 摘 要： | 针对存在于摩擦非线性和负载转动惯量时变的伺服系统,提出一种神经元模型参考自适应控制设计方法。导出了控制对象离散数学模型,介绍了伺服系统结构和控制器设计,并用波波夫超稳定性理论证明该系统是渐近超稳定的。仿真结果表明系统具有良好的动态性能、稳态精度和鲁棒性。
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| 关 键 词： | 神经元 自适应控制 超稳定 伺服系统 |
Model Reference Adaptive Servo System Based on Neuron |
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| Feng Guonan,Zhang Li,Jin Wanhuang,Sun Liang.Model Reference Adaptive Servo System Based on Neuron[J].Control and Decision,1997,12(4):312-316. |
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| Authors: | Feng Guonan Zhang Li Jin Wanhuang Sun Liang |
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| Affiliation: | Beijing Polytechnic University |
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| Abstract: | A method of designing neuron based DC servo control system with model reference adaptive con-trol scheme is described, which overcomes the bad effects of dry friction nonlinearity and time variable inertia load. The discrete time mathematical model of the controlled plant is derived. The structure of the servo con-trol system and the design method of the controller are given. The servo control system is proved to be asymptotically hyperstable by means of Popov hyperstability theory. The simulation results show that the dy-namic performance, stationary precision and the robustness of the servo control system are all good. |
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| Keywords: | neuron adaptive control hyperstable servo system |
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