Development of the electric automatic steering system for agricultural vehicles

Authors

  • Guangshun An 1. School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, Shandong, China
  • Chong Yu 1. School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, Shandong, China
  • Juan Du 1. School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, Shandong, China
  • Xiang Yin 1. School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, Shandong, China
  • Youliang Ni 2. Nanjing Research Institute for Agricultural Mechanization of Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
  • Chengqian Jin 1. School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, Shandong, China 2. Nanjing Research Institute for Agricultural Mechanization of Ministry of Agriculture and Rural Affairs, Nanjing 210014, China

DOI:

https://doi.org/10.25165/ijabe.v17i1.8493

Keywords:

automatic steering, automatic navigation, agricultural vehicles

Abstract

Automatic guidance of agricultural vehicles requires automatic execution of operation commands received from the navigation controller by using electronically controlled mechanisms for wheel steering, speed changing and work implementing. Automatic steering contributes as a prerequisite technique in automatic and semi-automatic agricultural navigation. This research aimed to develop an electric automatic steering system that was compact in its structure and integrated into original steering mechanism in a simply and convenient way for aftermarket modification. A brushless motor and reducer assembly was utilized to provide an adequate steering torque instead of manual maneuver. A rapid assembling approach was proposed by passing the steering shaft through the hollow output shaft. A digital proportional-integral-differential (PID) algorithm was implemented to calculate the rotation speeds and directions by comparing the desired angle and the actual angle, which was implemented in a printed circuit board with a microcontroller unit (MCU) and interface chips. An unmanned wheeled tractor was applied as test platform to integrate the newly developed electric automatic steering system. Tests were conducted to evaluate its performance in terms of stability and responsiveness. An autonomous navigation system guided the tractor along target paths in the field by sending steering commands to the electric automatic steering system. The results show that the steering angle error was less than 0.81° when desired steering angle was less than 10°. The lateral error difference was no more than 4.76 cm when repeating following the same target path, which indicated that the electric automatic steering system responded accurately and robustly to steering commands. Keywords: automatic steering, automatic navigation, agricultural vehicles DOI: 10.25165/j.ijabe.20241701.8493 Citation: An G S, Yu C, Du J, Yin X, Ni Y L, Jin C Q. Development of the electric automatic steering system for agricultural vehicles. Int J Agric & Biol Eng, 2024; 17(1): 209-214.

Author Biographies

Guangshun An, 1. School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, Shandong, China

School of Agricultural Engineering, Postgraduate.

Chong Yu, 1. School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, Shandong, China

School of Agricultural Engineering, Postgraduate.

Juan Du, 1. School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, Shandong, China

School of Agricultural Engineering, Lecturer.

Xiang Yin, 1. School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, Shandong, China

School of Agricultural Engineering, Professor.

Youliang Ni, 2. Nanjing Research Institute for Agricultural Mechanization of Ministry of Agriculture and Rural Affairs, Nanjing 210014, China

Associate researcher

Chengqian Jin, 1. School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, Shandong, China 2. Nanjing Research Institute for Agricultural Mechanization of Ministry of Agriculture and Rural Affairs, Nanjing 210014, China

Professor

References

Roshanianfard A, Noguchi N, Okamoto H, Ishii K. A review of autonomous agricultural vehicles (The experience of Hokkaido University). Journal of Terramechanics, 2020; 91: 155–183.

Chou H-Y, Khorsandi F, Vougioukas S G, Fathallah F A. Developing and evaluating an autonomous agricultural all-terrain vehicle for field experimental rollover simulations. Computers and Electronics in Agriculture, 2022; 194: 106735.

Yuan Y W, Bai S H, Niu K, Zhou L M, Zhao B, Wei L G, et al. Research progress in the key technologies and equipment for cotton planting mechanization. Transactions of the CSAE, 2023; 39(6): 1–11.

Wang G Q, Han Y, Chen J, Wang S B, Zhang Z C, Du N N, et al. A GNSS/INS integrated navigation algorithm based on kalman filter. IFAC PapersOnLine, 2018; 52(17): 232–237.

Utamima A, Reiners T. Navigating route planning for multiple vehicles in multifield agriculture with a fast hybrid algorithm. Computers and Electronics in Agriculture, 2023; 212: 108021.

Saha S, Morita T, Opisna R, Noguchi N. A vision-based navigation system for an agricultural autonomous tractor. IFAC PapersOnLine, 2022; 55(32): 48–53.

Jia Q, Zhang X B, Yuan Y W, Fu T, Wei L G, Zhao B. Fault-tolerant adaptive sliding mode control method of tractor automatic steering system. Transactions of the CSAE, 2018; 34(10): 76–84.

Wang R C, Ye Q, Cai Y F, Wang Y, Xu X, Meng X P, et al. Analyzing the influence of automatic steering system on the trajectory tracking accuracy of intelligent vehicle. Advances in Engineering Software, 2018; 121: 188–196.

Luo Y S, Wei L L, Xu L Z, Zhang Q, Liu J Y, Cai Q B, et al. Stereo-vision-based multi-crop harvesting edge detection for precise automatic steering of combine harvester. Biosystems Engineering, 2022; 215: 115–128.

Yang Y, Zhang G, Chen Z Z, Wen X, Cheng S K, Ma Q L, et al. An independent steering driving system to realize headland turning of unmanned tractors. Computers and Electronics in Agriculture, 2022; 201: 107278.

Liu J Y, Tan J Q, Mao E R, Song Z H, Zhu Z X. Proportional directional valve based automatic steering system for tractors. Frontiers of Information Technology & Electronic Engineering, 2016; 17(5): 458–464.

Zhao W Z, Luan Z K, Wang C Y. Parametric optimization of novel electric–hydraulic hybrid steering system based on a shuffled particle swarm optimization algorithm. Journal of Cleaner Production, 2018; 186: 865–876.

Cui T W, Zhao W Z, Wang C Y. Design optimization of vehicle EHPS system based on multi-objective genetic algorithm. Energy, 2019; 179: 100–110.

Tayea M S, Emam M A A, Shaaban S M, El-Demerdash S M, Rabee M G. Dynamic performance of electro-hydraulic steering system for off-road vehicles. International Journal of Vehicle Structures and Systems, 2012; 4(1): 1–9.

Du H, Shi J J, Chen J D, Zhang Z Z, Feng X Y. High-gain observer-based integral sliding mode tracking control for heavy vehicle electro-hydraulic servo steering systems. Mechatronics, 2021; 74: 102484.

Lee D, Yi K, Chang S, Lee B, Jang B. Robust steering-assist torque control of electric-power-assisted-steering systems for target steering wheel torque tracking. Mechatronics, 2018; 49: 157–167.

Murilo A, Rodrigues R, Teixeira E L S, Santos M M D. Design of a parameterized model predictive control for electric power assisted steering. Control Engineering Practice, 2019; 90: 331–341.

Hassan M, Azubir N, Nizam H, Toha S, Ibrahim B. Optimal design of electric power assisted steering system (EPAS) using GA-PID method. Procedia Engineering, 2012; 41: 614–621.

Yin X, Du J, Geng D Y, Jin C Q. Development of an automatically guided rice transplanter using RTK-GNSS and IMU. IFAC PapersOnLine, 2018; 52(17): 374–378.

Yin X, Wang Y X, Chen Y L, Jin C Q, Du, J. Development of autonomous navigation 288 controller for agricultural vehicles. Int J Agric & Biol Eng, 2020; 13(4): 70–76.

Takai R, Yang L L, Noguchi N. Development of crawler-type robot tractor based on GNSS and IMU. IFAC Proceedings Volumes, 2013; 46(4): 95–98.

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Published

2024-03-31

How to Cite

An, G., Yu, C., Du, J., Yin, X., Ni, Y., & Jin, C. (2024). Development of the electric automatic steering system for agricultural vehicles. International Journal of Agricultural and Biological Engineering, 17(1), 209–214. https://doi.org/10.25165/ijabe.v17i1.8493

Issue

Section

Information Technology, Sensors and Control Systems