Design and performance evaluation of Fractional ORDER controller for Brushless DC Motor

Abstract

Recent developments and advancements in the areas of permanent magnets, power electronics and modern control technologies have significantly influenced the widespread use of Brushless DC (BLDC) motor drives. BLDC motors are now, widely used in many applications such as servo drives, computer peripheral equipments and electric vehicles due to their high power density, high efficiency, compact size and easier control. In this paper a control scheme is presented which uses the traditional PID controller for the speed control of BLDC motor. PID controller is designed both by Zeigler-Nichols tuning method and Genetic Algorithm. A controller based on fractional order PID is also designed using Genetic algorithm and the performances of fractional PID controller are compared with the performance of PID controller. MATLAB/SIMULINK software is used to simulate and test the performances of the designed controllers.

Speed performance evaluation of BLDC motor based on dynamic wavelet neural network and PSO algorithm

“…The type of BLDC motor has a different of applications in aerospace, automotive, industrial automation, military, household products, computers, etc. because of its higher efficiency, higher torque, lower weight, good efficiency, increasing power density, simple in construction, ease of control and less of maintenance [1,2]. A BLDC motor is a type of permanent synchronous motor with rotor position feedback.…”

“…The motor consists of a rotor of permanent magnet and stator winding distributed to generate the trapezoidal back-EMF waveforms and are fed with rectangular stator currents, which give a theoretically constant torque. The operation of the BLDC motor established upon the switching the phases by the inverter when turning ON two phases at any time while the rest phase is float where every 60 degrees the two phases are energized and changed sequentially established upon the rotor position [1,3]. Due to electronic commutation, this type of motor has a more complex control algorithm compared with other motors.…”

“…A trapezoidal shape of the mutual inductance among the two main parts of the motor, stator and rotor, makes a trapezoidal back-emf in the winding of the stator. The analogous three-phase circuit, BLDC motor of starconnected used in this work driven by its three-phase inverter is shown in Figure 1 [1][2][3][4][5][6].…”

Real - time I mplementation of Robust Set - point Weighted PID Controller for Magnetic Levitation System

“…Because of its simple structure and easy implementation, the PID controller has always been a favorite choice for the control engineers and has been applied in several fields of research [12][13][14]. To provide an overall good performance, different techniques are chosen but a controller is rarely found where it has got the potential to provide a good response in all respects.…”

“…The literature review shows that the design of the controller utilizes different control techniques such as sliding mode control, ∞ control, TID and I-TD control, fractional order control etc. In addition, the use of the evolutionary algorithm, fuzzy logic and neural network can also be found in the literature [5][6][7][8][9][10][11].Because of its simple structure and easy implementation, the PID controller has always been a favorite choice for the control engineers and has been applied in several fields of research [12][13][14]. To provide an overall good performance, different techniques are chosen but a controller is rarely found where it has got the potential to provide a good response in all respects.…”