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中文摘要：
设计了一种应用于永磁同步电机（PMSM）的白适应解耦控制器，实现了调速系统的线性化及解耦．该智能控制器采用模型参考自适应解耦神经网络广义逆控制器（MRAD—NNGI），由模型参考自适应控制器构成其反馈环，2个前置控制器构成其前馈环．MRAD—NNGI控制器集合了自适应理论高精度跟踪与人工神经网络解耦的优点．前置控制器可以有效地提高系统的抗干扰性能．仿真与实验结果表明，即使在PMSM负载扰动以及系统参数变化的情况下，MRAD—NNGI控制器依然能表现出很好的稳定性与精确的响应性．
英文摘要：
An adaptive decoupling controller for permanent-magnet synchronous motor （PMSM） is proposed to linearize and decouple the speed regulation system. The proposed intelligent controller adopts a model reference adaptive decoupling- neural network generalized inverse （MRAD-NNGI） controller, in which the feedback loop is constructed by model reference adaptive （MRA） controller and the feed-forward loop is constructed by two front controllers. The MRAD-NNGI controller combines the merits of the high-precision tracking ability of self-adaptive theory and the decoupling ability of artificial neural networks. The feed-forward controller is employed to effectively improve the anti-interference performance. The simulation and experimental results show that the proposed MRAD-NNGI controller takes on good stability and precise response regardless of the load disturbances and the system parameters variations.
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