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首页> 外文期刊>IEEE Transactions on Industry Applications >Development and Implementation of a Hybrid Intelligent Controller for Interior Permanent-Magnet Synchronous Motor Drives
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Development and Implementation of a Hybrid Intelligent Controller for Interior Permanent-Magnet Synchronous Motor Drives

机译：用于内部永磁同步电动机驱动器的混合智能控制器的开发和实现

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摘要

A hybrid neuro-fuzzy scheme for online tuning of a genetic-based proportional-integral (PI) controller for an interior permanent-magnet synchronous motor (IPMSM) drive is presented in this paper. The proposed controller is developed for accurate speed control of the IPMSM drive under various system disturbances. In this work, initially different operating conditions are obtained based on motor dynamics incorporating uncertainties. At each operating condition a genetic algorithm is used to optimize the PI controller parameters in a closed-loop vector control scheme. In the optimization procedure a performance index is developed to reflect the minimum speed deviation, minimum settling time and zero steady-state error. A fuzzy basis function network (FBFN) is utilized for online tuning of the PI controller parameters to ensure optimum drive performance under different disturbances. The proposed FBFN-based PI controller provides a natural framework for combining numerical and linguistic information in a uniform fashion. The proposed controller is successfully implemented in real time using a digital signal processor board DS 1102 for a laboratory 1-hp IPMSM. The effectiveness of the proposed controller is verified by simulation as well as experimental results at different dynamic operating conditions. The proposed controller is found to be robust for applications in an IPMSM drive.
机译：本文提出了一种混合神经模糊方案，用于在线调整内部永磁同步电动机（IPMSM）驱动器的基于遗传的比例积分（PI）控制器。提出的控制器是为在各种系统干扰下精确控制IPMSM驱动器而开发的。在这项工作中，最初基于不确定性的电机动力学获得了不同的运行条件。在每个操作条件下，都采用遗传算法来优化闭环矢量控制方案中的PI控制器参数。在优化过程中，将开发性能指标以反映最小速度偏差，最小建立时间和零稳态误差。模糊基函数网络（FBFN）用于PI控制器参数的在线调整，以确保在不同干扰下的最佳驱动性能。所提出的基于FBFN的PI控制器为以统一的方式组合数字和语言信息提供了自然的框架。所提出的控制器已通过用于实验室1 hp IPMSM的数字信号处理器板DS 1102成功地实时实施。通过仿真以及不同动态操作条件下的实验结果验证了所提出控制器的有效性。发现建议的控制器对于IPMSM驱动器中的应用程序是可靠的。

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