Design and Experiment of an Independent Leg-Type Chassis Vehicle Attitude Adjustment System

Chao Li, Siliang Xiang, Kang Ye, Xiao Luo, Chenglin Zhu, Jiarong Li and Yixin Shi ()
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Chao Li: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Siliang Xiang: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Kang Ye: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Xiao Luo: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Chenglin Zhu: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Jiarong Li: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Yixin Shi: College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China

Agriculture, 2024, vol. 14, issue 9, 1-24

Abstract: In response to the current low work efficiency of soil ridge-working machinery, as well as its poor stability, passability, and adaptability, this paper designs an independent leg-type working platform that can autonomously adjust its vehicle attitude through LiDAR scanning in a soil ridge-working environment. The platform, in terms of its mechanism and structural design, adopts dual parallelogram mechanisms, dual lead screw mechanisms, and independent column leg mechanisms, with a maximum adjustable ground clearance of 107 mm and a maximum wheelbase adjustment of 150 mm. A gyroscope is mounted at the center of the platform for attitude adjustment, ensuring the accurate data collection of the ultrasonic ranging module. Moreover, the platform adopts an adaptive adjustment method based on vehicle attitude and soil ridge shape parameters, obtaining soil ridge parameters through LiDAR and combining ultrasonic ranging module data with stepper motor pulse signals to obtain the absolute vehicle attitude parameters, using first and second linear regression methods to adjust the vehicle attitude and other working parameters. A prototype was also created, and the test data from the soil obtained through experiments show that, after leveling with the gyroscope leveling algorithm, the average value of the pitch angle is up to 0.6154°, and the average value of the roll angle is up to 0.9989°, with the maximum variance of the pitch angle being 0.0474° and the maximum variance of the tilt angle being 0.1320°. After the ultrasonic ranging module data are filtered by the Kalman filter, the maximum variance is 0.0304, and after applying the final fusion algorithm, the maximum variance is only 0.0085. The LiDAR measurement width value deviates from the actual width value by no more than 1.0 cm, and the LiDAR measurement height value deviates from the actual height value by no more than 1.0 cm. The platform’s actual adjusted width deviates from the actual soil ridge width by no more than 2.0 cm, and the platform’s actual adjusted height deviates from the actual soil ridge height by no more than 1.2 cm. This platform can improve the passability, adaptability, and stability of agricultural machinery in soil ridge work and provide technical references for subsequent related research.

Keywords: adaptivity; LiDAR; gyroscope; ultrasonic ranging module; Kalman filtering (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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