A new scheme for sensorless induction motor control drives operating in low speed region |
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Affiliation: | 1. Applied Sciences Department, University of Quebec at Chicoutimi, Que., Canada G7H2B1;2. Electrical Engineering Department, University of Nevada, MS 260, Reno, NV 89557-0153, USA;1. Laboratory LTII, University of Bejaia, Algeria;2. Laboratory LICOME, University of Quebec at Chicoutimi, Canada;1. SASTRA University, India;2. Indira Gandhi Centre for Atomic Research, India;3. Vels University, India;1. Centre for Applied Informatics, College of Engineering and Science, Victoria University, Melbourne, VIC 8001, Australia;2. School of Systems Engineering and Department of Bioengineering, University of Reading, Reading RG6 6AY, UK;3. Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA, USA;4. College of Engineering and Science, Victoria University, Melbourne, VIC 8001, Australia;5. Centre for Biomedical Engineering (CBME) and School of Electrical & Electronic Engineering, The University of Adelaide, South Australia, SA 5000, Australia |
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Abstract: | A novel simple stator resistance estimation technique for high-performance induction motor drives is proposed. It makes use of a synchronously revolving reference frame aligned with the stator current vector, so that the resistance can be straightforwardly derived from the mathematical model of the induction motor. A sensorless direct field orientation scheme is employed to validate the proposed solution, with the drive operating in the critical area of low speeds. A combination of two observers is used: a Kalman filter observer to estimate the rotor flux, and a MRAS observer for speed estimation. The stator resistance estimator alleviates the usual performance degradation of MRAS-based drives at low speeds, caused by the thermal drift of stator resistance. Computer simulations, including realistic disturbances, show high effectiveness of the described approach. |
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