Authors: Manoj Kumar Merugumalla; Prema Kumar Navuri
Addresses: Department of Electrical Engineering, Andhra University, Viskhapatnam, India ' Faculty of Electrical Engineering, Andhra University, Visakhapatnam, India
Abstract: The constriction factor (C-factor)-based particle swarm optimisation algorithm is proposed for the solar photovoltaic array powered brushless direct current (BLDC) motor drive control. The rotor position sensors are completely eliminated. Instead, it is determined by measuring the changes in back-emf. The CPSO algorithm is used for the tuning of proportional-integral-derivative (PID) controller parameters for the speed control of the drive. The BLDC motor drive is modelled in MATLAB/Simulink and trapezoidal back-emf waveforms are modelled as a function of rotor position using MATLAB code. This paper deals with rise time, settling time, peak overshoot and steady-state error under varying conditions and examines the effectiveness of the BLDC motor drive with the proposed algorithm. The comparison of simulation results of proposed algorithm with other PSO algorithms demonstrates the prominence of the constriction factor for the drive controller.
Keywords: brushless direct current motor; solar photovoltaic array; particle swarm optimisation; PSO; PID controller; constriction factor; C-factor; inertia weight.
International Journal of Computational Intelligence Studies, 2019 Vol.8 No.1/2, pp.27 - 58
Received: 08 Mar 2018
Accepted: 15 Jul 2018
Published online: 14 Feb 2019 *