Control BLDC Motor Speed using PID Controller

Mahmud, Md. Zobair Al; Motakabber, S. M. A.; Alam, A. H. M. Zahirul; Nordin, Anis Nurashikin

doi:10.14569/ijacsa.2020.0110359

Cited by 41 publications

(9 citation statements)

References 3 publications

(2 reference statements)

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“…The purpose of closed-loop control is to monitor the dynamic behaviour of the motor by means of appropriate feedback. The most interested features in the closed-loop control system response are settling time, overshoot, steady-state error and response time [21].…”

Section: Simulation and Discussionmentioning

confidence: 99%

Modelling and Simulation of a Brushless Motor DC for Electric Power Steering Assistance

Cioboata¹,

Neacsu²,

Stanciu³

et al. 2020

EEA

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This paper presents an approach to develop a brushless DC motor to assist an electric power steering. Optimal design for electric power steering system implies the adequate selection of topology, technology, sizes and control algorithm. This paper briefly describes the electric power steering system structure, the most used topologies of electric power steering and the advantages of using brushless DC motors for electric power steering assistance. An electric power steering architecture is proposed. The method of design the brushless DC motor for this electric power steering is presented. Design of the brushless DC motor was based on the analysis of the requirements of the EPS systems, analysis of the control methods, modelling and simulation in MATLAB/SIMULINK. Simulation for six various conditions are presented and analysed for optimal sizing of the electric motor. An experimental model of the designed motor has been manufactured for validation.

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Section: Simulation and Discussionmentioning

confidence: 99%

Modelling and Simulation of a Brushless Motor DC for Electric Power Steering Assistance

Cioboata¹,

Neacsu²,

Stanciu³

et al. 2020

EEA

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“…By comparing the performances of PI and PID controller shows that by applying the load torque to the motor with conventional controller, motor speed will be decreased, and it should regain its speed quickly [9].The dynamic response to the rapid tuning results of the modified PID controller, which can help to control the speed of the motor and maintain constant speed during load changes is examined. On comparing three phase BLDC motor PID controller performance with PI, PID controller provides the best performance compared to the PI and Fuzzy logic and is validated by MATLAB simulation [10]. BLDC motor speed control response using PID controller and ANN controller shows that the settling time for BLDC motor controlled by ANN controller is much lesser than that of PID controller.…”

Section: Literature Reviewmentioning

confidence: 92%

Comparative Study of Speed Control of Brushless DC Motor

Trivedi¹,

Singh²,

Katare³

et al. 2023

SCRS Proceedings of International Conference of Undergraduate Students

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This paper presents a comparative study on speed control of brushless DC motors, which has wide applications in electrical vehicles, manufacturing plants, aerospace, etc. Initially, the proportional controller is implemented using the developed mathematical model of BLDC motor. Then, the PID and PII controllers are implemented with speed as their returning path to increase the performance of speed control. The optimum values of PID and PII parameters are evaluated using performance index-based constrained optimization. The integral square error is used as a performance index to form the objective function. The objective function is evaluated for different values of parameters using non-linear constrained optimization. The performance is further increased by introducing variable parameters using neural network-based gain scheduling control. The neural network-based control offers better properties such as low overshoot and provides lower susceptibility to parameter variations. To show the effectiveness of the presented approach, extensive simulations are carried out in a MATLAB environment.

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“…Pustaka [21] mengusulkan pengendali PID melalui modifikasi yang dapat meningkatkan pengaturan kecepatan motor brushless DC. Dalam hal ini parameter dapat disetel pada momen aktual di bawah operasi pengendali PID.…”

Section: Pengendali Pid Sebagai Kontrol Kecepatan Motor Brushless DCunclassified

Sistem Karakterisasi dan Perencanaan Pengendali PID sebagai Kontrol Kecepatan Motor Brushless DC untuk Kursi Roda Tricycle

Hilmi¹,

Arifin²,

Estiyono³

2022

JTITS

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Kursi roda merupakan salah satu alat bantu yang paling sering digunakan penyandang disabilitas untuk meningkatkan mobilitas pribadi mereka. Seiring berkembangnya teknologi, inovasi kursi roda mulai bermunculan. Seperti kursi roda yang dikombinasikan dengan tricycle. Karena ditujukan untuk penggunaan jarak menengah hingga jarak jauh, inovasi ini memerlukan kecepatan yang lebih tinggi. Oleh karena itu, motor brushless DC (BLDC) hadir sebagai pengganti motor DC konvensional yang selama ini telah banyak diimplementasikan karena memiliki karakteristik torsi yang lebih baik, respons dinamis tinggi, efisiensi tinggi, umur operasi yang panjang, rentang kecepatan tinggi, serta biaya perawatan rendah. Kendati demikian, motor brushless DC memiliki kekurangan pada mekanisme pengendaliannya yang cukup sulit dan rumit karena tidak memiliki brush (sikat) yang menunjang proses komutasi. Oleh karena itu, pada penelitian ini dirancang sebuah instrumen yang dapat digunakan untuk karakterisasi motor brushless DC sekaligus perancangan dan implementasi pengendali PID sebagai kontrol kecepatan kursi roda tricycle untuk memenuhi kebutuhan tingkat keamanan yang tinggi pada teknologi asistif tersebut. Dari penelitian yang dilaksanakan, instrumen yang dirancang berhasil digunakan untuk melakukan pengambilan data. Selain itu, instrumen melakukan karakterisasi terhadap motor listrik brushless DC dari kursi roda tricycle yang diteliti dengan baik. Lebih lanjut, pengendali PID yang dirancang berdasarkan data yang diperoleh saat karakterisasi dapat dijalankan oleh instrumen. Dari percobaan didapatkan parameter 𝑲 𝒑 , 𝑲 𝒊 , dan 𝑲 𝒅 yang terbaik adalah 0,2, 0,00012, dan 0,0035 dibandingkan parameter yang lain dengan RMSE dari hasil step response sebesar 294,09. Setelah diimplementasikan, pengendali PID yang dirancang mampu mengendalikan kecepatan motor. Meskipun memiliki performa yang kurang baik, nilai aktual yang dibaca oleh sensor ditunjukkan perlahan-lahan mendekati nilai referensi yang diberikan.

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Control BLDC Motor Speed using PID Controller

Cited by 41 publications

References 3 publications

Modelling and Simulation of a Brushless Motor DC for Electric Power Steering Assistance

Modelling and Simulation of a Brushless Motor DC for Electric Power Steering Assistance

Comparative Study of Speed Control of Brushless DC Motor

Sistem Karakterisasi dan Perencanaan Pengendali PID sebagai Kontrol Kecepatan Motor Brushless DC untuk Kursi Roda Tricycle

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