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A hybrid model predictive control approach to the direct torque control problem of induction motors

机译:感应电动机直接转矩控制问题的混合模型预测控制方法

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摘要

Direct torque control (DTC) is a state-of-the-art control methodology for electric motor drives which features favourable control performance and implementation properties. In DTC, the core of the control system is the inverter switching table, and any efforts to enhance the system's performance aim at improving its design. This issue is addressed in this paper, where we propose a new design procedure for the DTC problem. The DTC drive, comprising a two- or three-level dc-link inverter driving a three-phase induction motor, is modelled in the hybrid mixed logical dynamical (MILD) framework, and a constrained finite-time optimal control problem is set up and solved over a receding horizon using model predictive control (MPC). Simulation results are provided and compared to the current industrial standard demonstrating the potential for notable performance improvements. Copyright (c) 2007 John Wiley & Sons, Ltd.
机译:直接转矩控制(DTC)是电动马达驱动器的最新控制方法,具有良好的控制性能和实现特性。在DTC中,控制系统的核心是逆变器开关台,为提高系统性能而进行的任何努力都旨在改进其设计。本文解决了这个问题,我们在其中提出了DTC问题的新设计程序。在混合混合逻辑动力学(MILD)框架中对DTC驱动器进行建模,该驱动器包括一个驱动三相感应电动机的两级或三级直流母线逆变器,并建立了受限的有限时间最优控制问题。使用模型预测控制(MPC)解决了后退问题。提供了仿真结果,并将其与当前的工业标准进行了比较,证明了显着提高性能的潜力。版权所有(c)2007 John Wiley&Sons,Ltd.

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