Design methodology and experimental verification of intelligent speed controllers for sensorless permanent magnet Brushless DC motor

Abstract

This article presents a modified genetic algorithm (MGA) to determine the five degrees of freedom parameters, namely K p , K i , K d , λ, and μ of a fractional order proportional integral derivative (FOPID) controller to achieve the speed control of a brushless direct current (BLDC) motor by sensorless technique. The MGA is a meta-heuristic inspired algorithm for solving nonlinearity problems such as sudden load disturbances, power fluctuations, and misalignment of the motor. The conventional genetic algorithm (CGA) is not very effective in solving the abovementioned problems. Hence, MGA-optimized FOPID (MGA-FOPID) controller is recommended for sensorless speed control of BLDC motor under varying load (T L ) conditions, and varying set speed (N s ) conditions. The proposed design of the MGA-FOPID controller has been implemented in MATLAB 2019a with Simulink models for optimal speed control of the BLDC motor. Also, the hardware experimental set-up and the results of the proposed controller are presented. The performance of the MGA-FOPID controller is observed and evaluated for time-domain characteristics. It is important to note that the proposed MGA-FOPID controller is more effective than the MGA optimized integer order proportional integral derivative controller in terms of minimizing time integral performance indexes.

An improved incipient whale optimization algorithm based robust fault detection and diagnosis for sensorless brushless DC motor drive under external disturbances

“…This section provides MATLAB/Simulink simulation results of the FDD methods applied to a sensorless BLDC motor, for the bearing faults and the stator winding faults. In terms of bearings, previous studies show that 90% of faults that occur in rolling bearings are due to cracks in the inner and outer races 29 . Accordingly, four bearing conditions were considered in this study, namely the normal condition, the outer race fault, the inner race fault, and the presence of both the inner and outer race faults 30 .…”

Design Analysis of SSD Optimized Speed Controller for BLDC Motor

“…In BLDC motor, a modified genetic algorithm (MGA) based fractional order PID controller was designed by Vanchinathan et al [26] to achieve the speed control. The algorithm was used for solving nonlinearity issues like motor misalignment, power fluctuation and sudden load disturbance.…”

A BL-CC Converter-Based BLDC Motor Drive for Marine Electric Vehicle Applications

“…e BLDC motor sensorless control schemes are discussed in literature [41,42]. e speed control scheme of BLDC motor drive with calculation of controller tuning parameters using modified genetic algorithm approach is presented by Vanchinathan et al [41].…”

“…e BLDC motor sensorless control schemes are discussed in literature [41,42]. e speed control scheme of BLDC motor drive with calculation of controller tuning parameters using modified genetic algorithm approach is presented by Vanchinathan et al [41]. e sensorless fuzzy logic precise commutation control scheme for speed control of BLDC motor drive using equal area criteria approach is presented by Soni and Tripathi [42].…”