Analysis and Assessment of a Brushless DC Outrunner Motor for Agriculture Drones Using JMAG
Designing propulsion systems for agricultural drones involves a repetitive process that is both expensive and time-intensive. At the same time, conducting comprehensive experimental tests demands specialized equipment and strict safety protocols. In this work, the design and assessment of the propul...
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MDPI AG
2025-06-01
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| Series: | Applied System Innovation |
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| Online Access: | https://www.mdpi.com/2571-5577/8/3/81 |
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| author | Javier de la Cruz Soto Jose J. Gascon-Avalos Jesse Y. Rumbo-Morales Gerardo Ortiz-Torres Manuel A. Zurita-Gil Felipe D. J. Sorcia-Vázquez Javier Pérez-Ramírez Obed A. Valle-López Susana E. Garcia-Castro Hector M. Buenabad-Arias Moises Ramos-Martinez Maria A. López-Osorio |
| author_facet | Javier de la Cruz Soto Jose J. Gascon-Avalos Jesse Y. Rumbo-Morales Gerardo Ortiz-Torres Manuel A. Zurita-Gil Felipe D. J. Sorcia-Vázquez Javier Pérez-Ramírez Obed A. Valle-López Susana E. Garcia-Castro Hector M. Buenabad-Arias Moises Ramos-Martinez Maria A. López-Osorio |
| author_sort | Javier de la Cruz Soto |
| collection | DOAJ |
| description | Designing propulsion systems for agricultural drones involves a repetitive process that is both expensive and time-intensive. At the same time, conducting comprehensive experimental tests demands specialized equipment and strict safety protocols. In this work, the design and assessment of the propulsion system (propeller, motor, and battery) for large-sized drones in agricultural applications are conducted using numerical methods. To properly predict and validate the performance of a brushless direct current motor, a three half-bridge inverter circuit, featuring a trapezoidal commutation, is implemented and constructed. First, the propeller is studied using the finite volume method, obtaining a maximum variation of 6.32% for thrust and 10.1% for torque. Additionally, an electromagnetic analysis on a commercial brushless direct current motor (BLDC) using JMAG software from JSOL corporation (JMAG designer 23.2, Cd.Obregón, México) resulted in 4.43% deviation from experimental electrical measurements. The selected propulsion system is implemented in a 30 kg drone, where motor performance is evaluated for two instants of time in a typical agriculture trajectory. The findings demonstrate that numerical methods provide valuable insights in large-sized unmanned aerial vehicle (UAV) design, decreasing the experimental tests conducted and accelerating implementation time. |
| format | Article |
| id | doaj-art-1f6fd33f52e34820b4c2fa119d4c2a93 |
| institution | Kabale University |
| issn | 2571-5577 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied System Innovation |
| spelling | doaj-art-1f6fd33f52e34820b4c2fa119d4c2a932025-08-20T03:27:15ZengMDPI AGApplied System Innovation2571-55772025-06-01838110.3390/asi8030081Analysis and Assessment of a Brushless DC Outrunner Motor for Agriculture Drones Using JMAGJavier de la Cruz Soto0Jose J. Gascon-Avalos1Jesse Y. Rumbo-Morales2Gerardo Ortiz-Torres3Manuel A. Zurita-Gil4Felipe D. J. Sorcia-Vázquez5Javier Pérez-Ramírez6Obed A. Valle-López7Susana E. Garcia-Castro8Hector M. Buenabad-Arias9Moises Ramos-Martinez10Maria A. López-Osorio11CONAHCYT-Sonora Institute of Technology, Obregon City 85130, MexicoCentro Universitario de los Valles, University of Guadalajara, Carretera Guadalajara-Ameca, Km. 45.5, Ameca 46600, MexicoCentro Universitario de los Valles, University of Guadalajara, Carretera Guadalajara-Ameca, Km. 45.5, Ameca 46600, MexicoCentro Universitario de los Valles, University of Guadalajara, Carretera Guadalajara-Ameca, Km. 45.5, Ameca 46600, MexicoCentro Universitario de los Valles, University of Guadalajara, Carretera Guadalajara-Ameca, Km. 45.5, Ameca 46600, MexicoCentro Universitario de los Valles, University of Guadalajara, Carretera Guadalajara-Ameca, Km. 45.5, Ameca 46600, MexicoDepartamento de Ingeniería eléCtrica y Electrónica, Sonora Institute of Technology, Obregon City 85130, MexicoDepartamento de Ingeniería eléCtrica y Electrónica, Sonora Institute of Technology, Obregon City 85130, MexicoDepartamento de Metal Mecánica, Tecnológico Nacional de México, Campus Hermosillo, Hermosillo 85130, MexicoCentro de Investigación en Ingenierías y Ciencias Aplicadas, Universidad Autónoma del Estado de Morelos, Cuernavaca 62209, MexicoCentro Universitario de los Valles, University of Guadalajara, Carretera Guadalajara-Ameca, Km. 45.5, Ameca 46600, MexicoNatural and Exact Sciences Department, University of Guadalajara, Ameca 46600, MexicoDesigning propulsion systems for agricultural drones involves a repetitive process that is both expensive and time-intensive. At the same time, conducting comprehensive experimental tests demands specialized equipment and strict safety protocols. In this work, the design and assessment of the propulsion system (propeller, motor, and battery) for large-sized drones in agricultural applications are conducted using numerical methods. To properly predict and validate the performance of a brushless direct current motor, a three half-bridge inverter circuit, featuring a trapezoidal commutation, is implemented and constructed. First, the propeller is studied using the finite volume method, obtaining a maximum variation of 6.32% for thrust and 10.1% for torque. Additionally, an electromagnetic analysis on a commercial brushless direct current motor (BLDC) using JMAG software from JSOL corporation (JMAG designer 23.2, Cd.Obregón, México) resulted in 4.43% deviation from experimental electrical measurements. The selected propulsion system is implemented in a 30 kg drone, where motor performance is evaluated for two instants of time in a typical agriculture trajectory. The findings demonstrate that numerical methods provide valuable insights in large-sized unmanned aerial vehicle (UAV) design, decreasing the experimental tests conducted and accelerating implementation time.https://www.mdpi.com/2571-5577/8/3/81BLDCJMAGCFDpower electronicsagriculture applications |
| spellingShingle | Javier de la Cruz Soto Jose J. Gascon-Avalos Jesse Y. Rumbo-Morales Gerardo Ortiz-Torres Manuel A. Zurita-Gil Felipe D. J. Sorcia-Vázquez Javier Pérez-Ramírez Obed A. Valle-López Susana E. Garcia-Castro Hector M. Buenabad-Arias Moises Ramos-Martinez Maria A. López-Osorio Analysis and Assessment of a Brushless DC Outrunner Motor for Agriculture Drones Using JMAG Applied System Innovation BLDC JMAG CFD power electronics agriculture applications |
| title | Analysis and Assessment of a Brushless DC Outrunner Motor for Agriculture Drones Using JMAG |
| title_full | Analysis and Assessment of a Brushless DC Outrunner Motor for Agriculture Drones Using JMAG |
| title_fullStr | Analysis and Assessment of a Brushless DC Outrunner Motor for Agriculture Drones Using JMAG |
| title_full_unstemmed | Analysis and Assessment of a Brushless DC Outrunner Motor for Agriculture Drones Using JMAG |
| title_short | Analysis and Assessment of a Brushless DC Outrunner Motor for Agriculture Drones Using JMAG |
| title_sort | analysis and assessment of a brushless dc outrunner motor for agriculture drones using jmag |
| topic | BLDC JMAG CFD power electronics agriculture applications |
| url | https://www.mdpi.com/2571-5577/8/3/81 |
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