scholarly journals Simulasi Pengaturan Kecepatan Motor BLDC menggunakan Software PSIM

MIND Journal ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 103-117
Author(s):  
MUHAMMAD HAMZAH ABDURRAHMAN AS-SALAF ◽  
SYAHRIAL SYAHRIAL
Keyword(s):  
High Efficiency ◽  
Maximum Load ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Motor Speed ◽  
Electric Cars ◽  
Brushless Dc ◽  
Calculation Results ◽  
Motor Load ◽  
20 Nm

AbstrakKrisis bahan bakar fosil menjadi salah satu alasan pengembangan teknologi dalam bidang transportasi contohnya kereta listrik dan mobil listrik. Salah satu penggerak yang saat ini banyak digunakan pada kendaraan listrik adalah motor brushless DC (BLDC) yang memiliki efisiensi tinggi, hemat biaya perawatan dan pengaturan yang mudah. Pada umumnya penelitian yang dilakukan terkait dengan motor BLDC adalah tentang pengaturan kecepatan motor, pembebanan pada motor dan yang lainnya. Penelitian ini melakukan simulasi cara pengaturan kecepatan motor BLDC dengan beban yang diubah-ubah dengan menggunakan software PSIM (Power Simulator). Data yang diperoleh melalui simulasi dengan memberikan beban maksimum sebesar 20 Nm dan hasil perhitungan menunjukan bahwa motor BLDC dengan spesifikasi yang digunakan dapat berputar dengan baik pada kecepatan 1442,05 rpm dengan efisiensi sebesar 81,25 %. Jika  beban yang diberikan pada motor BLDC dinaikan menjadi 30 Nm maka kecepatan motor akan mengalami penurunan menjadi 1221,51 rpm dan efisiensi menjadi 78,34 %.Kata kunci: motor BLDC, Kecepatan motor, Beban, efisiensiAbstractThe fossil fuel crisis is one of the reasons for the development of technology in transportation, for example electric trains and electric cars. One of the movers that are currently widely used in electric vehicles is the brushless DC motor (BLDC) because this motor has advantages including high efficiency, saving maintenance costs and easy setting. In general, research conducted related to BLDC motors is about regulating BLDC motor speed, loading on BLDC motors and others. In this study a simulation was conducted discussing how to regulate BLDC motor speed with a load that was changed by using PSIM (pow3er simulator) software. From the data obtained through simulation by giving a maximum load of 20 Nm and the calculation results show that the BLDC motor with the specifications used can rotate well at speeds of 1442.05 rpm with an efficiency of 81.25%. If the load given to the BLDC motor is increased to 30 Nm, the motor speed will decrease to 1221.51 rpm and the efficiency decrease to 78.34%.Keywords: Brushless DC, speed of motor, load, efficiency

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 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.

Resonant DC Link Inverter for Brushless DC Motor Drive System

2012 ◽  
Vol 13 (2) ◽  
Author(s):  
J. Karthikeyan ◽  
R. Dhanasekaran
Keyword(s):  
High Performance ◽  
High Efficiency ◽  
Fast Response ◽  
Dc Motor ◽  
Soft Switching ◽  
Brushless Dc Motor ◽  
Motor Drive ◽  
Bldc Motor ◽  
Pwm Inverter ◽  
Brushless Dc

The brushless DC motor (BLDC motor) drive is used in several high performance applications ranging from servos to traction drives, due to several distinct advantages such as high power density, high efficiency, fast response and maintenance free. BLDC motor is usually driven by hard switching PWM inverter, which normally has higher switching losses. In recent years, these are several soft switching inverters presented. But there are many disadvantages such as high device voltage stress and large DC link voltage ripple and so on. This paper presents a transformer based resonant dc link inverter for brushless dc motor. The modulation strategies can be classified into two kinds according to the turn-off sequence of the two switches of the pair of switches. Here, dc link voltage notches during chopping switches commutation for all switches working in zero voltage switching condition. The operating principle of soft switching and control scheme are presented. The proposed scheme is verified with the simulation and experimental results.

scholarly journals Calculation Of The Brushless DC Motor Shaft Speed With Allowances For Incorrect Alignment Of Sensors

2015 ◽  
Vol 22 (3) ◽  
pp. 393-402 ◽  
Author(s):  
Krzysztof Kolano
Keyword(s):  
Observation System ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Motor Speed ◽  
Feedback Systems ◽  
Motor Shaft ◽  
Algorithm Performance ◽  
Brushless Dc ◽  
Loop Feedback ◽  
Closed Loop Feedback

Abstract The paper treats of correcting calculation errors of the BLDC motor speed, based on the time elapsed between successive changes in the shaft position sensor signal. The developed method enables correction of errors of the deployment of sensors as well as rotating elements of the observation system of the motor shaft position. The correction algorithm performance was analysed with the aid of a model implemented in Matlab-Simulink environment. After confirming usefulness of the developed method through simulation, its usefulness was verified in real closed-loop feedback systems with a BLDC motor. The results of measurements carried out at the developed laboratory station are presented.

scholarly journals Fuzzy Logic Controller and Its Application in Brushless DC Motor (BLDC) in Electric Vehicle - A Review

2021 ◽  
Vol 3 (1) ◽  
pp. 35
Author(s):  
Chico Hermanu Brillianto Apribowo ◽  
Musyaffa’ Ahmad ◽  
Hari Maghfiroh
Keyword(s):  
Control System ◽  
Electric Vehicles ◽  
Fuzzy Logic Controller ◽  
High Efficiency ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Fuzzy Pid Control ◽  
Brushless Dc ◽  
Stable Performance

<p class="Abstract">Brushless DC motor (BLDC) is one type of electric motor that is widely used, especially in automotive systems. This motor is widely used as a driving force in electric vehicles. BLDC motor is chosen because it has the characteristics of high efficiency, reliability, and a wide speed range. Besides, BLDC motors require less maintenance and can operate quieter than DC motors. Even though it has many advantages, in its application the use of BLDC motors in electric vehicles is often less than optimal. The use of a conventional control system proportional integral derivative (PID) still has many weaknesses, especially in response to changes in load and track conditions. In this study, a control system was designed to regulate the speed of the BLDC motor, using a combination of Fuzzy and PID methods. Based on the results of the tests that have been done, the Fuzzy-PID control can provide better and more stable performance than using the conventional PI control.</p>

DSP-Based on Brushless DC Motor Speed Control by PI Controller Using Back EMF Detection

2015 ◽  
Vol 763 ◽  
pp. 63-70
Author(s):  
Danupon Kumpanya ◽  
Chookiat Kiree ◽  
Satean Tunyasrirut ◽  
Deacha Puangdownreong
Keyword(s):  
Speed Control ◽  
Pi Controller ◽  
Pole Placement ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Motor Speed ◽  
Brushless Dc ◽  
Speed Adjustment ◽  
Placement Technique ◽  
Speed Response

This paper presents a design and implementation of Brushless DC (BLDC) motor speed control based on the TMS320F28335 DSP board interfacing to MATLAB/SIMULINK. To obtain the optimal tracking and regulating responses, the PI controller is conducted and designed by pole placement technique. With Back EMF detection, the proposed system is considered as a class of sensorless control. This scheme leads to the speed adjustment of the BLDC motor by PWM. This experiment aims to examine the effectiveness of BLDC motor by testing the BLDC motor of 100 watt. It was found that the speed response of BLDC motor can be regulated at the operating speed of 700 rpm and 1400 rpm at no load and full load conditions.

scholarly journals Sterowanie i konstrukcje bezszczotkowych silników prądu stałego

2020 ◽  
pp. 19-32
Author(s):  
Sylwester Czmil ◽  
Keyword(s):  
Motor Control ◽  
High Efficiency ◽  
Supply Voltage ◽  
Brushless Dc Motor ◽  
Control Methods ◽  
Bldc Motor ◽  
Brushless Motors ◽  
Brushless Dc ◽  
High Durability ◽  
Motor Control Systems

The article presents the working principles and construction of a brushless DC motor. The BLDC motor control methods were discussed, including the division into methods using sensors for determining the rotor position and sensorless methods with an example of implementing BLDC motor control using microcontrollers. High efficiency and high durability as well as falling prices of electronic components and controllers cooperating with BLDC motors in recent years have caused a growing interest in this type of motors. The design of BLDC motors does not require the use of brushes, which in traditional brush motors supply voltage through the commutator to the rotor windings. Brushless motors are characterized by high efficiency, durability and reliability. The use of sensors in BLDC motor control systems increases the number of motor and commutator connections, thereby reducing the reliability of the drive system. For this reason, direct position and speed measurements are often abandoned for the use of sensorless control methods. DC brushless motors have various application areas, and due to their reliability and the ability to control speed, they are used, among others, in electric vehicles, medicine and industry.

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 PI Controller Based Performance Analysis of Brushless DC Motor, Utilizing MATLAB Simulink Environment

2020 ◽  
pp. 38-43
Author(s):  
Ankit Rawat ◽  
Mohd Bilal ◽  
Mohd Fazle Azeem
Keyword(s):  
High Speed ◽  
High Efficiency ◽  
Torque Ripple ◽  
Dc Motor ◽  
Pi Controller ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Matlab Simulink ◽  
Brushless Dc ◽  
Speed Regulation

Brushless DC Motor (BLDC) is gaining more and more popularity as one of the best electrical drives nowadays due to advantages like high efficiency, low maintenance, good reliability & wide dynamic response. The traditional brushed motor speed regulation is essentially effective in low speed and unable to lower the commutation torque ripple in high speed range. Speed regulation of Brushless DC (BLDC) motor is done by utilizing PI controller. The PI controller output act as  the input to the variable voltage block. The mathematical modeling of BLDC motor is additionally shown here. The BLDC motor is supplied from the inverter while the rotor position and speed are the input here. The detailed mathematical model of the anticipated drive system is developed and simulated using MATLAB/Simulink environment.  Principle of operation of using component is examined and therefore the simulation results are reported here to verify the theoretical analysis.

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