Hajiaghasi, S., Rafiee, Z., Salemnia, A., Aghamohammadi, M. (2019). Optimal Sensorless Four Switch Direct Power Control of BLDC Motor. Journal of Operation and Automation in Power Engineering, 7(1), 78-89. doi: 10.22098/joape.2019.4859.1374

S. Hajiaghasi; Z. Rafiee; A. Salemnia; M. R. Aghamohammadi. "Optimal Sensorless Four Switch Direct Power Control of BLDC Motor". Journal of Operation and Automation in Power Engineering, 7, 1, 2019, 78-89. doi: 10.22098/joape.2019.4859.1374

Hajiaghasi, S., Rafiee, Z., Salemnia, A., Aghamohammadi, M. (2019). 'Optimal Sensorless Four Switch Direct Power Control of BLDC Motor', Journal of Operation and Automation in Power Engineering, 7(1), pp. 78-89. doi: 10.22098/joape.2019.4859.1374

Hajiaghasi, S., Rafiee, Z., Salemnia, A., Aghamohammadi, M. Optimal Sensorless Four Switch Direct Power Control of BLDC Motor. Journal of Operation and Automation in Power Engineering, 2019; 7(1): 78-89. doi: 10.22098/joape.2019.4859.1374

Optimal Sensorless Four Switch Direct Power Control of BLDC Motor

^{}Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran.

Receive Date: 04 June 2018,
Revise Date: 27 October 2018,
Accept Date: 09 December 2018

Abstract

Brushless DC (BLDC) motors are used in a wide range of applications due to their high efficiency and high power density. In this paper, sensorless four-switch direct power control (DPC) method with the sector to sector commutations ripple minimization for BLDC motor control is proposed. The main features of the proposed DPC method are: (1) fast dynamic response (2) easy implementation (3) use of power feedback for motor control that is much easy to implement (4) eliminating the torque dips during sector-to sector commutations. For controlling the motor speed, a position sensorless method is used enhancing drive reliability. For reference speed tracking, a PI control is also designed and tuned based on imperialist competition algorithm (ICA) that reduces reference tracking error. The feasibility of the proposed control method is developed and analyzed by MATLAB/SIMULINK®. Simulation results prove high performance exhibited by the proposed DPC strategy.

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