This article develops a real-time loss minimizing control technique on induction machines for dynamic load profiles. Steady-state loss minimization has been well addressed. However, when the steady-state optimal control is applied to a highly dynamic load profile, more losses are induced during transients due to the slow rotor flux dynamics. Several heuristic methods have been developed for real-time loss reduction, but they are not designed for minimum losses. Loss-minimizing flux trajectories have been generated by dynamic programming but require prior information of load profiles. In this article, a real-time loss minimizing control technique is developed for applications without prior information of load profiles. It resembles the loss-minimizing stator flux trajectory generated by a modified dynamic programming method, which generates the best practical solution for unknown load profiles. Both simulation and experimental results demonstrate the energy saving capability of the proposed method. Significant energy savings have been demonstrated on traction applications.

中文翻译：

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无差拍动态负载曲线感应电机的实时损耗最小化控制 - 直接扭矩和磁通控制


本文开发了一种针对动态负载曲线的感应电机实时损耗最小化控制技术。稳态损失最小化已经得到很好的解决。然而，当稳态最优控制应用于高动态负载曲线时，由于转子磁通动态较慢，瞬态期间会引起更多损耗。已经开发了几种启发式方法来实时减少损失，但它们并不是为最小损失而设计的。损耗最小化的磁通轨迹是通过动态编程生成的，但需要负载曲线的先验信息。在本文中，针对没有负载曲线先验信息的应用开发了一种实时损耗最小化控制技术。它类似于通过改进的动态规划方法生成的损耗最小化定子磁通轨迹，该方法为未知的负载曲线生成最佳的实用解决方案。仿真和实验结果都证明了该方法的节能能力。牵引应用已证明可显着节省能源。