Utilizing of Flower Pollination Algorithm for Brushless DC Motor Speed Controller

Author(s):  
Md Mahmud ◽  
S. M.A. Motakabber ◽  
A. H. M. Zahirul Alam ◽  
Anis Nurashikin Nordin
Author(s):  
Mohd Syakir Adli ◽  
Noor Hazrin Hany Mohamad Hanif ◽  
Siti Fauziah Toha Tohara

<p>This paper presents a control scheme for speed control system in brushless dc (BLDC) motor to be utilized for electric motorbike. While conventional motorbikes require engine and fuel, electric motorbikes require DC motor and battery pack in order to be powered up. The limitation with battery pack is that it will need to be recharged after a certain period and distance. As the recharging process is time consuming, a PID controller is designed to maintain the speed of the motor at its optimum state, thus ensuring a longer lasting battery time (until the next charge). The controller is designed to track variations of speed references and stabilizes the output speed accordingly. The simulation results conducted in MATLAB/SIMULINK® shows that the motor, equipped with the PID controller was able to track the reference speed in 7.8x10<sup>-2</sup> milliseconds with no overshoot.  The result shows optimistic possibility that the proposed controller can be used to maintain the speed of the motor at its optimum speed.</p>


Author(s):  
Neeraj Priyadarshi ◽  
Sanjeevikumar Padmanaban ◽  
Lucian Mihet-Popa ◽  
Frede Blaabjerg ◽  
Farooque Azam

In this research paper, a hybrid Artificial Neural Network (ANN)-Fuzzy Logic Control (FLC) tuned Flower Pollination Algorithm (FPA) as a Maximum Power Point Tracker (MPPT) is employed to emend root mean square error (RMSE) of photovoltaic (PV) modeling. Moreover, Gaussian membership functions have been considered for fuzzy controller design. This paper interprets Luo converter occupied brushless DC motor (BLDC) directed PV water pump application. Experimental responses certify the effectiveness of the suggested motor-pump system supporting diverse operating states. Luo converter is newly developed dc-dc converter has high power density, better voltage gain transfer and superior output waveform and able to track optimal power from PV modules. For BLDC speed controlling there is no extra circuitry and phase current sensors are enforced for this scheme. The recentness of this attempt is adaptive neuro-fuzzy inference system (ANFIS)-FPA operated BLDC directed PV pump with advanced Luo converter has not been formerly conferred.


2013 ◽  
Vol 336-338 ◽  
pp. 728-733
Author(s):  
Xi Zhu ◽  
Jian Guo Song ◽  
Qing Lu Zhang

In order to drive beam-pumping unit with brushless DC motor (BLDCM), a kind of motor speed regulator was investigated. When pumping unit is in up stroke, BLDCM is power-driven; when in down stoke, pumping unit is braked by BLDCM. To meet the operation mode, PI double closed loops control strategy and Pulse Width Modulation (PWM) are applied. Simulation and test in field show that our design has good control effect and popularizing value.


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