scholarly journals Brushless DC Motor Speed Controller for Electric Motorbike

2018 ◽  
Vol 9 (2) ◽  
pp. 859
Author(s):  
Mohd Syakir Adli ◽  
Noor Hazrin Hany Mohamad Hanif ◽  
Siti Fauziah Toha Tohara
Keyword(s):  
Pid Controller ◽  
Dc Motor ◽  
Battery Pack ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Motor Speed ◽  
Brushless Dc ◽  
Speed Controller ◽  
Optimum Speed ◽  
Control Scheme

<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>

scholarly journals Optimal PID controller of a brushless dc motor using genetic algorithm

2019 ◽  
Vol 10 (2) ◽  
pp. 822 ◽  
Author(s):  
Muhammed A. Ibrahim ◽  
Ausama Kh. Mahmood ◽  
Nashwan Saleh Sultan
Keyword(s):  
Genetic Algorithm ◽  
System Performance ◽  
Pid Controller ◽  
Controller Design ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Motor Speed ◽  
Error Criterion ◽  
Brushless Dc

Brushless DC (BLDC) motor is commonly employed for many industrial applications due to their high torque and efficiency. This article produces an optimal designed controller of Brushless DC motor speed control depending on the genetic algorithm (GA). The optimization method is used for searching of the ideal Proportional–Integral-Derivative (PID) factors. The controller design methods of brushless DC motor includes three kinds: trial and error PID design, auto-tuning PID design and genetic algorithm based controller design. A PID controller is utilizing by conducted Integral absolute error criterion (IAE) and integral squared error (ISE) error criterion for BLDC motor control system. A GA-PID controller is designed to enhance the system performance by means of genetic algorithm. PID controller coefficients are calculated by GA to produce optimal PID as  hybrid PID with GA controller .The closed loop speed response of PID controller is experimented  for IAE and ISE error criteria. The suggested controller GA_PID is planned, modeled and simulated by MATLAB/ software program. A comparison output system performance monitored for every controller schemes. The results display that the time characteristics performance of GA-PID controller based on ISE objective function has the optimal performance (rise time, settling time, percentage overshoot) with other techniques.

scholarly journals Performansi Sistem Pengendali Kecepatan Motor BLDC Menggunakan Logika Fuzzy Logic

Jurnal METTEK ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 11
Author(s):  
Wayan Widhiada ◽  
Made Widiyarta ◽  
K.P. Arya Utama
Keyword(s):  
Fuzzy Logic ◽  
Power Supply ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Main Stream ◽  
Bldc Motor ◽  
Motor Speed ◽  
Brushless Dc ◽  
Simulation And Experiment ◽  
Dc Current

Brushless DC motor adalah salah satu jenis motor sinkron yang diberi arus DC yang bersumber dari inverter atau power supply. Motor AC menghasilkan arus AC yang dapat menggerakan motor. Pada dasarnya kecepatan motor dapat di atur menggunakan kontroler yang menghitung seberapa besar keluaran yang harus dihasilkan. Pada umumnya input dari kontroler berupa tuas (naik – turun atau putar) dan tombol untuk input awalnya. Oleh Karena itu dilakukan penelitian untuk mengganti input yang mengatur kecepatan motor BLDC. Kontrol kecepatan motor BLDC berbasis logika fuzzy adalah suatu system kontrol yang mengganti input main stream dari kontroler menjadi sensor beban, dan dimana pembacaanya akan dikontrol oleh logika fuzzy untuk mengatur control kecepatan motor BLDC. Penelitian dilakukan dengan dua cara yaitu simulasi dan eksperimen prototype dengan pemberian beban pada sensor yaitu 10 kg, 20 kg, 30 kg, 40 kg dan 50 kg sebagai inputnya. Hasil dari pengujian dan penghitungan yang didapat pada setiap pembebanan menghasilkan kecepatan yang stabil yaitu rata – rata 0.25 detik dengan kecepatan yang hamper setara dengan referensinya. Error pada kecepatan yang dihasilkan antara simulasi dan prototype sangat kecil yaitu kurang dari 1% pada masing – masing pembebanan. Brushless DC motor is one type of synchronous motor that is given a DC current from the inverter or power supply sourced. It produces an AC current that can drive the motor. Basically the motor speed can be set using a controller to compute the result of output. In general, the input from the controller is like a handle (up – down or twist) and a button for initial input. Therefore the research has changed the input that regulates the speed of the BLDC motor. BLDC motor speed is controlled based on fuzzy logic. Fuzzy logic is a control who help load sensor to replace the mainstream input like handle, and where the reader will be directed by logic to determine the speed of the BLDC motor. The research is carried out in two techniques, called simulation and experiment. The prototype is testing with the load on 10 kg, 20 kg, 30 kg, 40 kg and 50 kg as an input. The results of the tests is obtained at each loading resulted in a stable speed which is an average of 0.25 seconds with a speed that is almost the same as the reference. The error signal of the speed is produced between the simulation and prototype is very small, which is less than 1% in each load.

scholarly journals Optimization of Proportional Integral Derivative Parameters of Brushless Direct Current Motor Using Genetic Algorithm

2020 ◽  
pp. 24-32
Author(s):  
Isaiah Adebayo ◽  
David Aborisade ◽  
Olugbemi Adetayo
Keyword(s):  
Genetic Algorithm ◽  
Direct Current ◽  
Pid Controller ◽  
Absolute Error ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Brushless Dc

Optimal performance of the Brushless Direct Current (BLDC) motor is to be realized using an efficient Proportional Integral Derivative (PID) controller. However, conventional tuning technique fails to perform satisfactorily under parameter variations, nonlinear conditions and time delay. Also using conventional technique to tune the parameters gain of the PID controller is a difficult task. To overcome these difficulties, modern heuristic optimization technique are required to optimally tune the Proportional, Integral, Derivative of the controller for optimal speed control of three phase BLDC motor. Thus, genetic algorithm (GA) based PID controller was used to achieve a high dynamic control performance. The Brushless DC Motor mathematical equation which describes the voltage and corresponding rotational angular speed and torque of the brushless DC motor was employed using electrical DC Machines theorem. The Genetic algorithm was further analyzed by adopting the three common performance indices i.e. Integral Time Absolute Error (ITAE), Integral Square Error (ISE) and Integral Absolute Error (IAE) in order to capture and compare the most suitable BLDC Motor speed and torque control characteristics. All simulations were done using MATLAB (R2018a). The simulation result showed that the system with GA-PID controller had the better system response when compared with the existing technique of ZN-PID controller.

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