Abstract
This paper presents the application of Extended Kalman Filter to the speed control of a BLDC motor. The inputs to EKF are computed based on the measured data as well as the disturbance (an external mechanical load). The nonlinear model of the system is used for the simulation and later implemented on the dSPACE HW to obtain experimental results. The resulting solution sufficiently control the speed from 50 rpm to the nominal speed with the presence of disturbance and with the low torque ripple.
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References
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Z., H., V., S., R., G. (2016). Sensorless Speed Control of BLDC Motor using EKF with Computed Inputs and Disturbance. In: Jabłoński, R., Brezina, T. (eds) Advanced Mechatronics Solutions. Advances in Intelligent Systems and Computing, vol 393. Springer, Cham. https://doi.org/10.1007/978-3-319-23923-1_7
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DOI: https://doi.org/10.1007/978-3-319-23923-1_7
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Online ISBN: 978-3-319-23923-1
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