Mohammed Bakhti

Université Moulay Ismail de Meknes

Papers

1

Total Citations

6

H-Index

1

About

Mohammed Bakhti is a researcher specializing in the modeling and control of electric motors for mobile robotics, with a particular focus on agricultural applications. His work addresses critical challenges in wheeled mobile robots, specifically the efficiency and control of Brushless Direct Current Motors (BLDCMs). Bakhti’s major contribution is the development of a torque control-oriented model based on the Extended Park’s Transformation, a novel approach that enhances motor performance and energy consumption. This work, published in 2021, has garnered 6 citations, reflecting its growing relevance in the field of robotics and motor control. By improving the precision and reliability of BLDCMs, Bakhti’s research supports the advancement of autonomous systems in agriculture, where repetitive tasks demand robust and efficient actuation. His contributions are notable for bridging theoretical motor modeling with practical robotic applications, offering a pathway to more sustainable and effective agricultural automation. Bakhti’s work continues to influence researchers and engineers seeking to optimize electric motor control in mobile platforms.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Torque Control Oriented Modeling of a Brushless Direct Current Motor (BLDCM) Based on the Extended Park's Transformation
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Université Moulay Ismail de Meknes

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago