In this article, an improved sensorless direct flux and torque control is presented for high-performance induction motor drive. This algorithm integrates the super twisting control approach with direct torque control and model reference adaptive system. The super twisting algorithm is a second-order sliding mode approach that uses a continuous control law in order solves the problems of chattering and enhances control robustness against various uncertainties. Besides, a load torque observer design bed on super twisting–based design is presented to improve the speed regulation loop and to increase its rejection ability of load disturbances. Furthermore, the stator flux model reference adaptive system is used as a sensorless algorithm for rotor speed reconstruction. The association of dual estimators can increase the control system’s reliability and reduce its cost. The effectiveness of the proposed control algorithm has been verified through simulation and experimental work using MATLAB/Simulink software and dSpace 1104 implementation board, respectively.

中文翻译：

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基于无传感器模型参考自适应系统的感应电机的二阶滑模-直接转矩控制和负载转矩估计

在本文中，针对高性能感应电机驱动提出了一种改进的无传感器直接磁通和转矩控制。该算法将超捻控制方法与直接转矩控制和模型参考自适应系统相结合。超扭曲算法是一种二阶滑模方法，它使用连续控制律来解决抖动问题，增强对各种不确定性的控制鲁棒性。此外，提出了一种基于超扭转设计的负载转矩观测器设计床，以改进速度调节回路并提高其对负载扰动的抑制能力。此外，定子磁通模型参考自适应系统用作转子速度重建的无传感器算法。双估计器的关联可以提高控制系统的可靠性并降低其成本。通过分别使用 MATLAB/Simulink 软件和 dSpace 1104 实现板的仿真和实验工作验证了所提出的控制算法的有效性。