Loss Minimization of Induction Machines in Dynamic Operation
Loss Minimization of Induction Machines in Dynamic Operation
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DOI：
10.1109/tec.2013.2262048
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发表时间：
2013-05
影响因子：
4.9
通讯作者：
J. Stumper;A. Dotlinger;R. Kennel
中科院分区：
文献类型：
--
作者：
J. Stumper;A. Dotlinger;R. Kennel
本文提出了一种用于感应电机的损耗最小化扭矩控制方案。研究发现，在扭矩瞬变期间，稳态损耗最小化方案会导致过高的功率损耗，因为涉及高电流峰值。为了避免这种情况，在损耗最小化时必须考虑扭矩瞬变。控制磁通，以便获得所需的渐近扭矩响应，同时最小化欧姆损耗和铁损，从而优化受限输出下的效率。分析了动态优化问题，发现该问题很难求解。然而，结果表明，通过良好的近似，可以假设最佳通量是指数函数，并且可以通过数值确定其时间常数。这种动态最优的启发式近似可以带来良好的效率提高。该方法集成在预测控制方案中，其中在每个采样步骤在线执行优化。实验结果指出了额定运行和稳态损耗最小化之间的差异。飞轮设置展示了常见伺服和牵引驱动应用中的额外节能潜力。
This paper proposes a loss-minimizing torque control scheme for induction machines. It is found that during torque transients, the steady-state loss minimization schemes lead to excessively high power losses, as high current peaks are involved. To avoid this, torque transients have to be accounted for in the loss minimization. The flux is controlled such that a desired asymptotic torque response is obtained while the ohmic and iron losses are minimized, thus optimizing efficiency under a constrained output. The dynamic optimization problem is analyzed and found to be very difficult to solve. However, it is shown that with a good approximation, it can be assumed that the optimal flux is an exponential function, and that its time constant can be determined numerically. This heuristic approximation of the dynamic optimum leads to good efficiency improvements. The method is integrated in a predictive control scheme where the optimization is performed online at every sampling step. Experimental results point out the differences to rated operation and to steady-state loss minimization. A flywheel setup demonstrates the additional energy-saving potential in common servo and traction drive applications.