Hybrid Flatness-Based Control of Dual Star Induction Machine Drive System for More Electrical Aircraft

Mokhtar Nesri, K. Nounou, Guedida Sifelislam, M. Benkhoris, Houari Azeddine
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Abstract

This paper develops a precise method control system for tracking control of a power drive system based on a multi-phase machine under motor parameter and load torque variations. By adding a simple feedforward term based on the flatness theory, a conventional flux oriented control (FOC) can be enforced to have a perfect tracking performance under model parameter and load torque variations. Hence, a hybrid flatness-based control (HFBC) technique is applied to the control of a dual star induction machine (DSIM) and compared to a classical vector control strategy regarding tracking behaviour, robustness, and perturbations rejection. Finally, the simulation and experimental results are provided to verify the effectiveness of the proposed HFBC under uncertainties such as motor parameter and load torque variations. Furthermore, an enhancement of the drive system’s control performances is demonstrated by the improvement of the technique of separation of the objectives of tracking and disturbance rejection. The simulation and experimental results are presented, demonstrating the superiority of the HFBC.
基于混合平整度的双星感应机驱动系统控制,用于更多电动飞机
本文开发了一种精确的方法控制系统,用于在电机参数和负载转矩变化的情况下对基于多相机的动力驱动系统进行跟踪控制。通过添加一个基于平坦度理论的简单前馈项,传统的磁通导向控制(FOC)可在模型参数和负载转矩变化下实现完美的跟踪性能。因此,基于平坦度的混合控制(HFBC)技术被应用于双星感应机(DSIM)的控制,并与经典的矢量控制策略在跟踪性能、鲁棒性和扰动抑制方面进行了比较。最后,仿真和实验结果验证了所提出的 HFBC 在电机参数和负载转矩变化等不确定因素下的有效性。此外,通过改进跟踪和扰动抑制目标分离技术,提高了驱动系统的控制性能。仿真和实验结果表明了高频驱动控制器的优越性。
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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