Research on path tracking method for rotary tillage ridging operation based on robust model predictive control
Year: 2025
Type: article
Abstract: Tractor is a non-holonomic system whose path-tracking accuracy would degrade when subjected to external disturbance. When using a rotary-tillage-ridging implement for ridging, its interaction with soil would introduce random disturbance to the tractor system, especially on an unleveled ground surface. To achieve accurate navigation in this situation, a robust model predictive (RMPC) method was proposed. The method was based on the bicycle model and the prediction error caused by the simplified model was compensated using a closed-loop structure. Field test results showed that compared with a model predictive control (MPC) method, the mean absolute errors of lateral error and yaw-angle error were reduced by 21% and 24%, respectively.
Source: Smart Agricultural Technology
Authors: Yunxiang Ye, Xiaoqiang Du, Mengxiang Wang, Hongchao Cheng, Wenwu Lu, Zhichao Meng, Guohong Yu, Zenghong Ma
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,770
OpenAlex ID: W4413489805
