Path Tracking of Agricultural Vehicles Based on 4WIS–4WID Structure and Fuzzy Control

• Published in: Applied sciences Vol. 13; no. 14; p. 8495
• Main Authors: Xu, Lijun, Chen, Qinhan, Wang, Linlin, Yao, Lijian
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2023
• Subjects: 4WIS–4WID; Agricultural industry; Algorithms; Controllers; Electric vehicles; Energy consumption; Farm machinery; fuzzy control; intelligent agricultural machinery; Machinery; Magneto-electric machines; path tracking; position correction; pure pursuit; Robots; Velocity
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app13148495

This paper proposes a path-tracking method for agricultural vehicles based on the 4WIS-4WID structure and fuzzy control to improve the operation performance of agricultural machinery in the greenhouse. The influential model of two critical parameters, α and R, on the position correction is obtained based on the relationship analysis between the traditional pure pursuit model and the vehicle structure. Based on aiming pursuit, the relationship equation between the position deviation, lateral deviation d, and heading deviation θ is established. A two-input and two-output fuzzy controller is designed, and the lateral deviation d and heading deviation θ are the input variables. Values of α and R are obtained after fuzzification, fuzzy inference, and defuzzification, and a validated MATLAB model is used to simulate different scenarios. Results of the tests show that the steady-state error of path tracking based on fuzzy control pursuit is between 35 and 51 mm, and the stability distance is between 1661 and 3052 mm for straight path tracking in four initial states. The rectangular corners have the highest inaccuracy. The results of fuzzy control pursuit show a significant improvement in path-tracking performance that can influence vehicle navigation capability in the greenhouse.