| 引用本文: | 刘 达,李木国.基于小波神经网络自适应反推的永磁同步电机位置伺服控制[J].电力自动化设备,2013,33(2): |
| LIU Da,LI Muguo.PMSM position servo control based on wavelet neural network adaptive backstepping[J].Electric Power Automation Equipment,2013,33(2): |
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| 摘要: |
| 提出一种基于小波神经网络（WNN）的自适应反推控制策略，该策略通过对系统中的非线性不确定性进行估计和补偿，可以自适应调节反推控制器的输出，以获得良好的位置跟踪效果和对各类不确定性的鲁棒作用。设计中通过李雅普诺夫稳定性原理保证了整个系统的稳定性并给出了证明。经理论分析和通过与PI控制器及传统反推法的对比仿真的结果证明了该方法的有效性。 |
| 关键词: 同步电机 神经网络 反推控制 鲁棒性 位置伺服系统 |
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| 基金项目:国家自然科学基金资助项目（50879098）；中央高校基本科研业务费专项资金资助项目（DUT10JR14）；辽宁省教育厅高校科研计划项目（LS2010032） |
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| PMSM position servo control based on wavelet neural network adaptive backstepping |
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LIU Da1,2, LI Muguo2
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1.Faculty of Electronic Information and Electrical Engineering，Dalian University of Technology，Dalian 116023，China;2.The State Key Laboratory of Coastal and Offshore Engineering，
Dalian University of Technology，Dalian 116023，China
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| Abstract: |
| An adaptive backstepping control scheme based on WNN（Wavelet Neural Network） is proposed for PMSM（Permanent Magnetic Synchronous Motor） control system，which，being robust to all kinds of uncertainties，evaluates and compensates the nonlinear uncertainty existing in the system，and adaptively adjusts the outputs of backstepping controller to obtain good position tracking performance. The overall system stability is ensured by applying Lyapunov theory in the design. The effectiveness of the proposed control scheme is verified by the theoretical analysis and simulative comparisons with PI controller and traditional backstepping controller. |
| Key words: synchronous motors neural networks backstepping control robustness position servo system |
