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DSP-based adaptive backstepping using the tracking errors for high-performance sensorless speed control of induction motor drive
Affiliation:1. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;2. State Grid Jiaxing Electric Power Supply Company, Jiaxing 314000, China;3. College of Automation, Chongqing University, Chongqing 400044, China;4. School of Electrical and Electronic Engineering, University of Adelaide, Adelaide, SA 5005, Australia;1. National school of Engineers of Monastir, University of Monastir, 5019 Monastir, Tunisia;2. Laboratory: “Laboratory of Automation, Electrical Systems and Environment (LAS2E)”, ENIM, Tunisia
Abstract:This paper presents a modified structure of the backstepping nonlinear control of the induction motor (IM) fitted with an adaptive backstepping speed observer. The control design is based on the backstepping technique complemented by the introduction of integral tracking errors action to improve its robustness. Unlike other research performed on backstepping control with integral action, the control law developed in this paper does not propose the increase of the number of system state so as not increase the complexity of differential equations resolution. The digital simulation and experimental results show the effectiveness of the proposed control compared to the conventional PI control. The results analysis shows the characteristic robustness of the adaptive control to disturbances of the load, the speed variation and low speed.
Keywords:Induction motor (IM)  Backstepping  Adaptive observer  Sensorless control  Vector control  PI control  Digital signal processor (DSP)  Space vector  Pulse width modulation (SVPWM)  dSpace DS1104
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