Numerical Analysis of Autonomous Tractors on S-shaped Track based on math models
DOI:
https://doi.org/10.59097/jasae.v1i2.20Keywords:
Autonomous tractor, carsim, Numerical analysis, S-shaped TrackAbstract
Autonomous vehicles today have increased the attention of academics, the industrial sector, and agriculture with intelligent vehicle technology that showcases multidisciplinary science using a range of Artificial Intelligence (AI) equipped with sensors and controls. One of the things that are needed in agriculture is an autonomous tractor to relieve all the work in the agricultural field. Therefore, this study aims to analyze the speed of an autonomous tractor path with S coordinates with a speed of 18 km/h and a time of 15 sec to determine how strong the vehicle performs when driving on a winding lane and improve driver safety. In this study, a numeric analysis of the speed of the autonomous tractor path was carried out using a simulation method using Carsim software based on the Math Model. The numerical results obtained in graphs and curves demonstrate the simulator can analyze tractor performance, reduce accident rates, and improve safety in agriculture.
References
Abubakar MS, Ahmad A, Akande, FB. A Review of Farm Tractor Overturning Accidents and Safety. Pertanika J Sci Technol. 2010;18(2):377–85.
CDC.com. Agricultural Safety [Internet]. www.CDC.com. 2020 [cited 2021 Mar 11]. Available from: https://www.cdc.gov/niosh/topics/aginjury/default.html
Li Y, Deng H, Xu X, Wang W. Modelling and Testing of In-Wheel Motor Drive Intelligent Electric Vehicles Based on Co-Simulation with Carsim / Simulink. 2018: 1–9.
Carsim Math Models. Vehicle Math.
Noguchi, N. Development of Robot Tractor Based on RTK-GPS and Gyroscope. 2001;0300(01): 1–8.
Simulation, Mechanical. CarSim and TruckSim Powertrain System. 2015 (February): 1–48.
Wang P, Zhao LIN. Automatic Steering Control Strategy for Unmanned Vehicles Based on Robust Backstepping Sliding Mode Control Theory. IEEE Access 2019;7:64984–92.
Watanabe M, Sakai K. Numerical Analysis of Tractor Accidents Using Driving Simulator for Autonomous Driving Tractor. ACM International Conference Proceeding Series 2019;Part F1476: 65–68.
Yang L, Noguchi N. Human Detection for a Robot Tractor Using Omni-Directional Stereo Vision." Computers and Electronics in Agriculture 2012;89: 116–25. http://dx.doi.org/10.1016/j.compag.2012.08.011.
Yang Y, Shih Y, Chen J. Real-Time Torque-Distribution Strategy for a Pure Electric Vehicle with Multiple Traction Motors by Particle Swarm Optimisation. 2016;6: 76–87.
Lin F, Wang S, Zhao Y, Cai Y. Research on autonomous vehicle path tracking control considering roll stability. Proc IMechE Part D: J Automobile Engineering 2021;235:1.
Wang C, Wang Z, Zhang L, Cao D, Dorrell DG. A Vehicle Rollover Evaluation System Based on Enabling State and Parameter Estimation. IEEE Transactions on Industrial Informatics 2020;7.
Li X, Tang B, Ball J, Doude M, Carruth DW. Rollover-Free Path Planning for Off-Road Autonomous Driving. Electronics 2019;8(614):1-22.
Yim S, Kim W. Rollover Prevention Control for Autonomous Electric vehicle. 2021; Available from: https://doi.org/10.3390/electronics10222790
Rondelli V, Franceschetti B, Mengoli D. A Review of Current and Historical Research Contributions to the Development of 71 Ground Autonomous Vehicles for Agriculture. Sustainability 2022;14, 9221 (MDPI) : 1-16.
He D, DeGuzman CA, Donmez B. Anticipatory Driving in Automated Vehicles: The Effects of Driving Experience and Distraction. Sagepub Human Factor. 2023:1-19.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Sahatun, Mohamad Yamin
This work is licensed under a Creative Commons Attribution 4.0 International License.
