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Comparison between current-based and flux/torque-based model predictive control methods for open-end winding induction motor drives

机译:开放式绕组感应电动机驱动器的基于电流和基于磁通/转矩的模型预测控制方法的比较

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摘要

In automotive testing systems such as chassis dynamometers and engine dynamometers, effective and efficient control strategies are required to control the induction motor drives, so that fast torque response and low-torque ripples can be obtained. The fast torque response can be obtained by using model predictive control (MPC) due to its high bandwidth over a wide-speed range; and the torque ripple can be reduced by using open-end winding induction motor (OEWIM). Since MPC can be current based or flux/torque based, and can be linear and non-linear, it is necessary to evaluate the effectiveness of different MPC methods on the open-end winding drives. In this study, linear and non-linear current-based MPC methods and flux/torque-based MPC methods for OEWIM drive are derived and evaluated. The transient and steady-state responses of MPC methods are compared through simulation and experiment. The results show that linear MPC methods require less computation time, and under the same sampling frequency, linear MPC methods provide lower current ripple and better zero-sequence-current suppression than non-linear MPC methods. This study provides practical perception for MPC used on multi-level converters and MPC used for unbalanced situations.
机译:在诸如底盘测功机和发动机测功机之类的汽车测试系统中,需要有效且高效的控制策略来控制感应电动机驱动器,以便获得快速的扭矩响应和低扭矩的波动。快速转矩响应可以通过使用模型预测控制(MPC)获得,因为它在较宽的速度范围内具有很高的带宽。使用开放式绕组感应电动机(OEWIM)可以减小转矩脉动。由于MPC可以基于电流或基于磁通/转矩,并且可以是线性和非线性的,因此有必要评估不同MPC方法在开放式绕组驱动器上的有效性。在这项研究中,推导并评估了用于OEWIM驱动器的基于线性和非线性电流的MPC方法以及基于磁通/转矩的MPC方法。通过仿真和实验比较了MPC方法的瞬态和稳态响应。结果表明,线性MPC方法需要较少的计算时间,并且在相同的采样频率下,线性MPC方法比非线性MPC方法具有更低的电流纹波和更好的零序电流抑制。这项研究为多电平转换器上使用的MPC和不平衡情况下使用的MPC提供了实用的理解。

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