Speed Estimation Direct Stator Field-orientation-controlled Induction Motor Drive Using Adaptive Flux Estimator

• Published in: Sensors and materials Vol. 32; no. 1; p. 239
• Main Authors: Luo, Yung-Chang, Chen, Bo-Wei, Pu, Wen-Cheng, Pai, Neng-Sheng
• Format: Journal Article
• Language: English
• Published: Tokyo MYU Scientific Publishing Division 01.01.2020
• Subjects: Algorithms; Computer simulation; Control algorithms; Coordinate transformations; Electromagnetic induction; Flux; Fuzzy control; Fuzzy logic; Hall effect; Induction motors; Microcontrollers; Model reference adaptive control; Reactive power; Rotor speed; Stators
• ISSN: 0914-4935
• DOI: 10.18494/SAM.2020.2574

In this study, a speed estimation scheme using the fuzzy logic control (FLC) strategy adaptive flux estimator is presented for a direct stator field-orientation-controlled (DSFOC) induction motor (IM) drive. The current and flux of the stator were utilized to establish the DSFOC IM drive, and the stator current was obtained from the IM by utilizing Hall effect current sensors. The adaptive stator flux estimator was developed according to the voltage-model and current-model stator flux estimators, and the estimated rotor speed was derived from this flux estimator. The adaptation mechanism of the adaptive stator flux estimator was designed using the FLC strategy. The synchronous position angle for the coordinate transformation between the stationary and synchronous reference coordinate frames was developed using the model reference adaptive system (MRAS) based on the reactive power of an IM. The MATLAB\Simulink® toolbox was used to simulate this system, and all the control algorithms were realized using a 32-bit RX62T microcontroller to validate this approach. Both simulation and experimental results (including the estimated rotor speed, electromagnetic torque, and stator flux locus) confirmed the effectiveness of the proposed system and validated the proposed approach.