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首页> 外文期刊>Applied Soft Computing >Design of a novel adaptive TSK-fuzzy speed controller for use in direct torque control induction motor drives
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Design of a novel adaptive TSK-fuzzy speed controller for use in direct torque control induction motor drives

机译：用于直接转矩控制感应电动机驱动器的新型自适应TSK模糊速度控制器的设计

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摘要

This study proposes an adaptive Takagi-Sugeno-Kang-fuzzy (TSK-fuzzy) speed controller (ATFSC) for use in direct torque control (DTC) induction motor (IM) drives to improve their dynamic responses. The proposed controller consists of the TSK-fuzzy controller, which is used to approximate an ideal control law, and a compensated controller, which is constructed to compensate for the difference between the TSK-fuzzy controller and the ideal control law. Parameter variations and external load disturbances were considered during the design phase to ensure the robustness of the proposed scheme. The parameters of the TSK-fuzzy controller were adjusted online based on the adaptive rules derived in Lyapunov stability theory. The ATFSC, fuzzy control, and PI control schemes were experimentally investigated, using the root mean square error (RMSE) performance index to evaluate each scheme. The robustness of the proposed ATFSC was verified using simulations and experiments, which involved varying parameters and external load disturbances. The experimental results indicate that the ATFSC scheme outperformed the other control schemes. (C) 2015 Elsevier B.V. All rights reserved.
机译：这项研究提出了自适应Takagi-Sugeno-Kang-fuzzy（TSK-fuzzy）速度控制器（ATFSC），用于直接转矩控制（DTC）感应电动机（IM）驱动器，以改善其动态响应。所提出的控制器包括用于近似理想控制律的TSK模糊控制器和用于补偿TSK模糊控制器与理想控制律之间差异的补偿控制器。在设计阶段考虑了参数变化和外部负载干扰，以确保所提出方案的鲁棒性。基于Lyapunov稳定性理论导出的自适应规则，在线调整TSK模糊控制器的参数。通过使用均方根误差（RMSE）性能指标来评估每种方案，对ATFSC，模糊控制和PI控制方案进行了实验研究。通过仿真和实验验证了所提出的ATFSC的鲁棒性，其中涉及变化的参数和外部负载干扰。实验结果表明，ATFSC方案优于其他控制方案。 （C）2015 Elsevier B.V.保留所有权利。

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