This paper presents an improved speed estimator for a permanent magnet synchronous motor (PMSM). It focuses on hybrid electric vehicles (HEVs). The speed estimator is based on reactive power model reference adaptive system (Q-MRAS). The MRAS parameters are tuned using particle swarm optimization (PSO) algorithms. The proposed method has been experimentally verified with a 100 kW, 5000 rpm PMSM, and a good agreement between the measured speed and the estimated speed is found. It is shown that the proposed method is able to handle the transition into the flux weakening mode without any problem.
An Improved Reactive Power MRAS Speed Estimator With Optimization for a Hybrid Electric Vehicles Application
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received September 3, 2017; final manuscript received January 20, 2018; published online March 19, 2018. Assoc. Editor: Mahdi Shahbakhti.
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Aymen, F., Novak, M., and Lassaad, S. (March 19, 2018). "An Improved Reactive Power MRAS Speed Estimator With Optimization for a Hybrid Electric Vehicles Application." ASME. J. Dyn. Sys., Meas., Control. June 2018; 140(6): 061016. https://doi.org/10.1115/1.4039212
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