MPC based current sharing for maximum torque dynamics in efficiency optimized field oriented induction machine control

M. Schubert, Kshitij Girigoudar, R. D. De Doncker
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引用次数: 2

Abstract

Efficiency optimized induction machine control is achieved by reduction of the flux linkage at light loads. This has negative effect during torque transients. Before an increased torque can be produced, flux linkage has to be built up which is limited by the rotor time constant. Transient torque response can be improved by boosting the flux linkage with a high current for a short time. However, a maximum inverter current limit exists which is a mutual constraint for the flux-producing and torque-producing current components. Known current sharing methods usually apply a constant flux-boosting current or only consider the next controller sampling time instant for optimization which leads to a non-optimal current trajectory. Aim of this paper is a full optimization of the current trajectory considering the whole transient process between two steady-state operating points. This is achieved by a model predictive approach with a prediction horizon in the range of the rotor time constant. The optimal trajectories are calculated offline and are analyzed to formulate a general optimization function which can be implemented on a microcontroller for real-time operation.
基于MPC的磁感应电机效率优化控制中最大转矩动态电流共享
效率优化感应电机控制是通过减少磁链在轻负载。这对扭矩瞬变有负面影响。在产生增加的转矩之前,必须建立受转子时间常数限制的磁链。在短时间内用大电流增强磁链可以改善瞬态转矩响应。然而,逆变器存在最大电流限制,这是产生磁通和产生转矩的电流元件之间的相互约束。已知的电流共享方法通常采用恒定的助流电流或只考虑下一个控制器采样时间瞬间进行优化,从而导致电流轨迹非最优。本文的目的是考虑两个稳态工作点之间的整个暂态过程,对电流轨迹进行全面优化。这是通过在转子时间常数范围内的预测水平的模型预测方法实现的。对最优轨迹进行了离线计算和分析,形成了一个通用的优化函数,该函数可以在微控制器上实现实时操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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