| 应用自适应模糊神经网络进行摩擦补偿的研究 |
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| 引用本文： | 姚宏伟,梅晓榕,庄显义. 应用自适应模糊神经网络进行摩擦补偿的研究[J]. 高技术通讯, 2000, 10(12): 44-47 |
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| 作者姓名： | 姚宏伟 梅晓榕 庄显义 |
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| 作者单位： | 哈尔滨工业大学控制工程系,哈尔滨,150001 |
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| 基金项目： | 国家自然科学基金项目!(5 96 75 0 0 8) |
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| 摘 要： | 在分析了摩探性及其对伺服系统低速特性的影响的基础上，提出了一种基于自适应模糊神经网络的摩探辨识和补偿方法，该方法既可实现摩探力矩的在线辨识和补偿，又能保证系统的稳定性。仿真结果表明，该方法是有效的，而且便于工程应用。
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| 关 键 词： | 伺服系统 摩擦辩识 摩擦补偿 自适应模糊神经网络 |
Application Adaptive Fuzzy Neural Networkto Compensate Friction |
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| Yao Hongwei,Mei Xiaorong,Zhuang Xianyi. Application Adaptive Fuzzy Neural Networkto Compensate Friction[J]. High Technology Letters, 2000, 10(12): 44-47 |
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| Authors: | Yao Hongwei Mei Xiaorong Zhuang Xianyi |
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| Abstract: | The friction characteristic is proposed, and the impact of friction on servo system is analyzed. Then a systematic identification and compensation method which is based on the adaptive fuzzy neural network is presented. This method not only realize the online identification and compensation, but also guarantee stability of the system. Simulation results verity the effectiveness and easy implementation of the proposed method. |
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| Keywords: | Servo system Friction identification Friction compensation Fuzzy neural network |
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