Authors :
Le Quoc Chuan; Pham Quoc Phong; Thach Minh Trong
Volume/Issue :
Volume 11 - 2026, Issue 5 - May
Google Scholar :
https://tinyurl.com/mr2vkryz
Scribd :
https://tinyurl.com/8w3nwbys
DOI :
https://doi.org/10.38124/ijisrt/26May1953
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Independent velocity coordination at each wheel is a key factor in governing the kinematics and trajectory control
of omnidirectional mobile robot configurations. This study investigates the design and experimental validation of an
electronic differential system that distributes reference velocities based on the steering input for a four-wheel independent
steering and four-wheel independent drive mobile robot. Utilizing the geometric principles of an expanded Ackermann
steering model, an inverse kinematic framework is established to map the mathematical constraints between the global linear
velocity and localized steering angles, aiming to minimize geometric synchronization mismatches during cornering
maneuvers. For the physical validation, a mechatronic prototype intended for baseline algorithm verification was
constructed, integrating an Arduino Mega microcontroller, self-locking worm-gear steering mechanisms, and brushless
direct current hub motors regulated by four independent drives. To isolate the core actuation performance from stochastic
ground-interaction variables, a no-load bench-testing configuration was utilized.
Keywords :
Mobile Robot; Brushless DC Motor; Electronic Differential System; Four-Wheel Independent Drive; MATLAB/Simulink.
References :
- Leong JSL, Teo KTK, Yoong HP. Four wheeled mobile robots: A review. 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). Kota Kinabalu, Malaysia: IEEE; 2022. p.1-6. https://doi.org/10.1109/IICAIET55139.2022.9936855.
- Pham QP, Huynh DL, Duong VK. Design and experiment of independent Four-Wheel Drive system for electric vehicles. The University of Danang - Journal of Science and Technology. 2026; 24(1):1-6. https://doi.org/10.31130/ud-jst.2026.24(1).616E.
- Zhu S, Lyu C. Distributed Drive Control Technology of Hub Motor. Singapore: Springer Nature Singapore; 2025. https://doi.org/10.1007/978-981-97-2922-7 1.
- Maknickas A, Ardatov O, Bogdevičius M, Kačianauskas R. Modelling the interac-tion between a laterally deflected car tyre and a road surface. Applied Sciences. 2022; 12(22):11332. https://doi.org/10.3390/app122211332.
- Darsh P, Nishi P, Aakash R, Manisha C, Neeraj Kumar GPJ, Cho W. A review on autonomous vehicles: Progress, methods and challenges. Electronics. 2022; 11(14):2162. https://doi.org/10.3390/electronics11142162.
- Yin D, Shan D, Hu JS. A study on the control performance of electronic differential system for four-wheel drive electric vehicles. Applied Sciences. 2017; 7(1):74. https://doi.org/10.3390/app7010074.
- Yin H, Yi W, Wu J, Wang K, Guan J. Adaptive fuzzy neural network PID algorithm for BLDCM speed control system. Mathematics. 2022; 10(1):118. https://doi.org/10.3390/math10010118.
- Yin H, Yi W, Wang K, Guan J, Wu J. Research on brushless DC motor control system based on fuzzy parameter adaptive PI algorithm. AIP Advances. 2020; 10(10):105208. https://doi.org/10.1063/5.0025000.
- Trinh TKL, Nguyen HT, Luu TP. Design of neural network-PID controller for trajectory tracking of differential drive mobile robot. Vietnam Journal of Science and Technology. 2024; 62(2):374-386. https://doi.org/10.15625/2525-2518/18066.
- Thai NH, Ly TTK, Thien H, Dzung LQ. Trajectory tracking control for differential drive mobile robot by a variable parameter PID controller. International Journal of Mechanical Engineering and Robotics Research. 2022; 11(8):614-621. https://doi.org/10.18178/ijmerr.11.8.614-621.
- Kang YH, Pang DC, Zeng YC. Optimal dimensional synthesis of Ackermann steering mechanisms for three-axle, six-wheeled vehicles. Applied Sciences. 2025; 15(2):800. https://doi.org/10.3390/app15020800.
- Zheng H, Yang S, Li B. Optimization control for 4WIS electric vehicle based on the coincidence degree of wheel steering centers. SAE International Journal of Vehicle Dynamics, Stability, and NVH. 2018; 2(3):169-184. https://doi.org/10.4271/10-02-03-0011.
- Gamit P. Simulation of BLDC motor control using conventional PI controller in MATLAB Simulink. Journal of Electrical Systems. 2024; 20(3):8051-8061. https://doi.org/10.52783/JES.7807.
- Dwivedi A. Speed control analysis of BLDC motor drive using PI controller. International Journal of Electrical, Electronics & Communication Engineering. 2013; 3(10):457-462. https://doi.org/10.13140/RG.2.2.35602.96960.
- Mahmud SMA, Motakabber SMA, Alam AHMZ, Nordin AN, Habib AKMA. Modeling and performance analysis of an adaptive PID speed controller for the BLDC motor. International Journal of Advanced Computer Science and Applications. 2020; 11(7):1-8. https://doi.org/10.14569/IJACSA.2020.0110736.
Independent velocity coordination at each wheel is a key factor in governing the kinematics and trajectory control
of omnidirectional mobile robot configurations. This study investigates the design and experimental validation of an
electronic differential system that distributes reference velocities based on the steering input for a four-wheel independent
steering and four-wheel independent drive mobile robot. Utilizing the geometric principles of an expanded Ackermann
steering model, an inverse kinematic framework is established to map the mathematical constraints between the global linear
velocity and localized steering angles, aiming to minimize geometric synchronization mismatches during cornering
maneuvers. For the physical validation, a mechatronic prototype intended for baseline algorithm verification was
constructed, integrating an Arduino Mega microcontroller, self-locking worm-gear steering mechanisms, and brushless
direct current hub motors regulated by four independent drives. To isolate the core actuation performance from stochastic
ground-interaction variables, a no-load bench-testing configuration was utilized.
Keywords :
Mobile Robot; Brushless DC Motor; Electronic Differential System; Four-Wheel Independent Drive; MATLAB/Simulink.