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Journals / Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2020 / Cilt: 24 - Sayı: 2

High Efficiency Brushless Direct Current Motor Design for an Unmanned Ground Vehicle

Bir ˙Insansız Kara Aracı ˙Için Yüksek Verimli Fırçasız Do˘gru Akım Motoru Tasarımı

ÖMER CİHAN KIVANÇ
Pages
494–501
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results obtained show the validity between the initial motivation and the design outputs and an electric motor which is producible, has been developed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Unmanned ground vehicles (UGV) offer different study areas to researchers due to their various modules.
📊
Key Findings & Data:In the study, analytical solutions by ANSYS RMxprt, 2 and 3 dimensional analyzes are performed based on finite element method (FEA) using ANSYS Maxwell.
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Conclusion & Impact:The results obtained show the validity between the initial motivation and the design outputs and an electric motor which is producible, has been developed.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Unmanned ground vehicles (UGV) offer different study areas to researchers due to their various modules. These modules can be included sensor technologies, embedded systems, mapping and localization, trajectory tracking, mechanical design, electric motor and battery technologies. Although electric motor technology from these research areas has reached more limit design values than the other areas mentioned, different design approaches are needed due to the complex and specific constraints of unmanned vehicles. In this study, a special outer rotor brushless direct current motor (BLDC) has been designed for UGV which has multi-axis movement, low friction and high vibration. Low speed, high torque and high efficiency in the design of a BLDC is restricted to space and volume can be easily manufactured. In the study, analytical solutions by ANSYS RMxprt, 2 and 3 dimensional analyzes are performed based on finite element method (FEA) using ANSYS Maxwell. The results obtained show the validity between the initial motivation and the design outputs and an electric motor which is producible, has been developed.

Özet

Insansız kara araçları (˙IKA) sahip oldukları farklı modüller sebebiyle ara¸stırmacılara çe¸sitli çalı¸sma alanları sunmaktadır. Bu modüller sensör teknolojileri, gömülü sistemler, haritalandırma ve konumlama, yörünge takibi, mekanik tasarım, elektrik motoru ve batarya teknolojileri gibi alanlardan olu¸sabilmektedir. Bu ara¸stırma alanlarından elektrik motoru teknolojisinde her ne kadar bahsedilen di˘ger alanlara göre daha fazla limit tasarım de˘gerlerine ula¸sılmı¸s olsa da insansız araçların sahip oldukları karma¸sık ve kendine özgü kısıtlar sebebiyle farklı tasarım yakla¸sımlarına ihtiyaç duyulmaktadır. Yapılan çalı¸smada çok yönlü hareket kabiliyetli, dü¸sük sürtünmeli ve yüksek titre¸simli bir ˙IKA için özel bir dı¸s rotorlu fırçasız do˘gru akım motoru (FDAM) tasarlanmı¸stır. Yapılan tasarımda dü¸sük hız, yüksek moment ve yüksek verimde bir FDAM’u kısıtlı alan ve hacim ko¸sulları göz önünde bulundurularak kolay imal edilebilir bir yapıda geli¸stirilmi¸stir. Çalı¸smada analitik çözümler ANSYS RMxprt, 2 ve 3 boyutlu analizler ise sonlu elemanlar yöntemine (SEY) dayanan ANSYS Maxwell ile yapılmı¸stır. Elde edilen sonuçlar, ba¸slangıç motivasyonu ile tasarım çıktıları arasındaki uygunlu˘gu göstermi¸s ve üretilebilir bir elektrik motoru geli¸stirilmi¸stir.

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Cite This Article

KIVANÇ, Ö. C. (2020). High Efficiency Brushless Direct Current Motor Design for an Unmanned Ground Vehicle. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 24 - Sayı: 2, 494–501. https://ajindex.com/articles/309841

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References (14)

  1. Huang, W., Wen, D., Geng, J., Zheng, N. N. 2014. Task-Specific Performance Evaluation of UGVs: Case Studies at the IVFC. IEEE Transactions on Intelligent Transportation Systems, 15(2014), 1969-1979
  2. Lam, A. Y. S., Yu, J. J. Q., Hou, Y., Li, V. O. K. 2017. Coordinated Autonomous Vehicle Parking for Vehicle-to-Grid Services: Formulation and Distributed Algorithm. IEEE Transactions on Smart Grid, 9(2017), 4356-4366
  3. Young, S. H., Mazzuchi, T. A., Sarkani, S. 2017. A Framework for Predicting Future System Performance in Autonomous Unmanned Ground Vehicles. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(2017), 1192-1206
  4. Dickmanns, E. D. 2017. Developing the Sense of Vision for Autonomous Road Vehicles at UniBwM. Computer, 50(2017), 24-31
  5. Pietras, B. 2015. New frontiers in driverless vehicles. Engineering & Technology, 10(2015), 64-67
  6. Touchton, B., Galluzo, T., Kent, D., Crane, C. 2016. Perception and Planning Architecture for Autonomous Ground Vehicles. Computer, 39(2006), 40-47
  7. Bresson, G., Alsayed, Z., Yu, L., Glaser, S. 2017. Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving. IEEE Transactions on Intelligent Vehicles, 2(2017), 194-220
  8. Liu, J., Han, W., Liu, C., Peng, H. 2018. A New Method for the Optimal Control Problem of Path Planning for Unmanned Ground Systems. IEEE Access, 6(2018), 33251-33260
  9. Silva, O.D., Mann, G. K. I., Gosine, R. G. 2015. An Ultrasonic and Vision-Based Relative Positioning Sensor for Multirobot Localization. IEEE Sensors Journal, 15(2015), 1716-1726
  10. Kolakowska, E., Smith, S. F., Kristiansen, M. 2014. Constraint Optimization Model of a Scheduling Problem for a Robotic Arm in Automatic Systems. Robotics and Autonomous Systems, 62(2014), 267- 280
  11. Kang, J.W., Kim, B. S., Chung, M. J. 2008. Development of Assistive Mobile Robots Helping the Disabled Work in a Factory Environment. IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 12-15 Ekim, Beijing, 426- 431
  12. Muir, P., Neuman, C. 1987. Kinematic Modeling for Feedback Control of an Omnidirectional Wheeled Mobile Robot. IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 31 Mart-3 Nisan, Raleigh, 1772-1778
  13. Zhao, D., Deng, X., Yi, J. 2009. Motion and Internal Force Control for Omnidirectional Wheeled Mobile Robots. IEEE/ASME Transactions on Mechatronics, 14(2009), 382-387
  14. Huang, H. C. 2018. A