基于最优控制理论的感应电机驱动暂态损耗最小化

S. Plathottam, H. Salehfar
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引用次数: 7

摘要

在大多数感应电机应用中,暂态运行过程中的损耗最小化常常被忽视。然而,在快速变化的负载转矩或参考转速曲线的情况下,损耗最小化可以大大提高效率。最优控制理论已经成功地应用于开发控制律,使瞬态损失最小化。以往的工作都是基于面向磁场的感应电机模型。本文提出了一种基于无磁场感应电机模型的最优控制问题,并进行了仿真。此外,开发和利用了一个更全面的成本函数,以保证机器的稳定稳定运行。采用共轭梯度法生成离线最优控制历史。通过仿真验证了所提控制律的性能,并与间接场定向控制器的控制结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transient loss minimization in induction machine drives using optimal control theory
Loss minimization during transient operation is an often neglected in most induction machine applications. However, loss minimization can greatly improve efficiency in case of fast changing load torques or reference speed profiles. Optimal control theory has been successfully applied previously to develop control laws that minimize losses during transients. All previous works were based on the field oriented induction machine model. In this paper, however, an optimal control problem based on the non-field oriented induction machine model is developed and simulated. Additionally, a more comprehensive cost functional is developed and utilized that would guarantee a stable steady state operation of the machine. Offline optimal control histories are generated using the conjugate gradient method. The performance of the proposed control law is verified through simulation and the results are compared with those from an indirect field oriented controller.
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