Direct Torque Field Oriented Control for Electronic Differential

This paper deals with the design, implementation and evaluation of an electronic differential system intended for light electric vehicles. This system utilizes a dual-motor configuration that consists of a pair of DC motors installed on the same axis of a vehicle and connected to the wheels. When the vehicle moves around a curve, the motors' rotation can vary. Additionally, the technology recognizes and fixes any traction wheel sliding. The main feature of the proposed system is that it does not require specific sensors to measure the steering angle and the speed of the drive wheels. Another important feature is that it is implemented using field-oriented controllers and a general-purpose Arduino nano platform. These components are very inexpensive and are available almost anywhere in the world.

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2024-12-10
DOI
https://doi.org/10.48175/ijarsct-22685
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Direct Torque Field Oriented Control for Electronic Differential

Sagar Kale, Prof. Kiran M. Kimmatkar, Prof. Manjeet Sakhare
International Journal of Advanced Research in Science Communication and Technology
Iterative Learning Control Systems
article

Direct Torque Field Oriented Control for Electronic Differential

Sagar Kale, Prof. Kiran M. Kimmatkar, Prof. Manjeet Sakhare
article en

Abstract

This paper deals with the design, implementation and evaluation of an electronic differential system intended for light electric vehicles. This system utilizes a dual-motor configuration that consists of a pair of DC motors installed on the same axis of a vehicle and connected to the wheels. When the vehicle moves around a curve, the motors' rotation can vary. Additionally, the technology recognizes and fixes any traction wheel sliding. The main feature of the proposed system is that it does not require specific sensors to measure the steering angle and the speed of the drive wheels. Another important feature is that it is implemented using field-oriented controllers and a general-purpose Arduino nano platform. These components are very inexpensive and are available almost anywhere in the world.

International Journal of Advanced Research in Science Communication and Technology
Nagpur Institute of Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 73%
Iterative Learning Control Systems
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