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Simulation and optimization of wheeled electric robots and its effects to achieve sustainable development | ||
| Biosystems Engineering and Sustainable Technologies | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 09 مهر 1404 | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22084/best.2025.30904.1008 | ||
| نویسندگان | ||
| Gader Balkipor* 1؛ Yusof Abbaspour Gilandeh2 | ||
| 1Department of Biosystem Engineering, University of Mohaghegh Ardabili, Ardabil, Iran | ||
| 2Professor of Department of Biosystem Engineering, University of Mohaghegh Ardabili, Ardabil, Iran | ||
| چکیده | ||
| Modern agriculture must balance rising food demands with reducing environmental harm. Traditional farming machinery boosts productivity but damages ecosystems through emissions and soil compaction. Electric agricultural robots present a sustainable alternative, eliminating direct emissions, cutting carbon footprints, and optimizing energy use. These robots enable precise operations that protect soil health while ensuring long-term sustainability. Key factors like working speed and depth critically impact energy efficiency, offering a path to reconcile high yields with eco-friendly practices. A MATLAB R2022b simulation analyzed a robot pulling a rotivator in variable soil conditions to identify the most energy-efficient mode. Results showed higher energy use at faster speeds (10 km/h). Increasing rake depth from 5 to 10 cm raised consumption by 19%. Tire resistance accounted for 40–45% of total energy losses. Work depth influenced losses more than speed, and operational intensity significantly affected battery drain—from 1.2 Wh/km (light mode) to 6.1 Wh/km (heavy mode). The study concludes that low depth and slow speeds minimize energy use. Reducing energy demand and leveraging renewables are vital for sustainable farming. This shift not only addresses current ecological challenges but also redefines agricultural mechanization for a greener future. | ||
| کلیدواژهها | ||
| Renewable energies؛ Optimization؛ Robot؛ Simulation؛ Agriculture | ||
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