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Accurate Discrete-Time Modeling for Improved Torque Control Accuracy for Induction Machine Drives at Very Low Sampling-to-Fundamental Frequency Ratios

机译:精确的离散时间建模,可在非常低的采样与基本频率比下提高感应电机驱动器的转矩控制精度

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Operations at low sampling-to-fundamental frequency (S2F)ratios of induction machines are required for high-power or high-speed applications. The traditional indirect field-oriented control is open-loop control on torque, which is sensitive to machine parameters and degrades at low S2F ratios. Deadbeat-direct torque and flux control (DB-DTFC)is closed-loop control on torque but also degrades at low S2F ratios with discrete-time approximations. This paper presents accurate discrete-time modeling for the flux and current observer and the deadbeat controller used in DB-DTFC. Experimental results show that the torque control accuracy is significantly improved even at very low S2F ratios.
机译:对于大功率或高速应用,需要在感应电机的低采样频率(S2F)比率下运行。传统的间接磁场定向控制是转矩的开环控制,该转矩对机器参数敏感,并在低S2F比率时降低。无差拍直接转矩和磁通量控制(DB-DTFC)是转矩的闭环控制,但在低S2F比率下,具有离散时间近似值时会降低。本文为DB-DTFC中使用的通量和电流观测器以及无差拍控制器提供了精确的离散时间建模。实验结果表明,即使在非常低的S2F比率下,转矩控制精度也会显着提高。

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