SEMI-PHYSICAL SIMULATION RESEARCH ON THE CONTROL SYSTEM OF COMBINE HARVESTER CUTTING TABLE

To address challenges in developing the rice-wheat harvester cutting platform controller—such as sensitivity to working conditions, long development cycles, and cumbersome performance testing—a semi-physical simulation platform is designed. Based on the functional requirements of the cutting platform, Simulink is used to build a mathematical model of the controller and its I/O hardware model. A hardware-in-the-loop simulation test platform is developed using the TC377ECU controller. By integrating the Whale Optimization PID algorithm, overshoot is reduced by 3.5%, and rise time improves by 0.303 s compared to conventional PID. Testing in both simulation and real environments shows a maximum absolute error of 10.58 mm for cutting height and a correlation coefficient of 0.9474. The rotational speed errors for the reel and auger have expectations of 0.106 rpm and 0.101 rpm, with standard deviations of 0.165 rpm and 0.172 rpm. This validates the controller’s feasibility, shortens development time, and lowers costs.

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Publication Details

Journal
INMATEH Agricultural Engineering
Published
2025-04-29
DOI
https://doi.org/10.35633/inmateh-75-68
Citations
2
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
1.91
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article

SEMI-PHYSICAL SIMULATION RESEARCH ON THE CONTROL SYSTEM OF COMBINE HARVESTER CUTTING TABLE

Yihu WANG, Guohai ZHANG, Qian Dong, Xipeng QIAN
2 citations
INMATEH Agricultural Engineering
Soil Mechanics and Vehicle Dynamics
1.91
article

SEMI-PHYSICAL SIMULATION RESEARCH ON THE CONTROL SYSTEM OF COMBINE HARVESTER CUTTING TABLE

Yihu WANG, Guohai ZHANG, Qian Dong, Xipeng QIAN
article en
2 citations

Abstract

To address challenges in developing the rice-wheat harvester cutting platform controller—such as sensitivity to working conditions, long development cycles, and cumbersome performance testing—a semi-physical simulation platform is designed. Based on the functional requirements of the cutting platform, Simulink is used to build a mathematical model of the controller and its I/O hardware model. A hardware-in-the-loop simulation test platform is developed using the TC377ECU controller. By integrating the Whale Optimization PID algorithm, overshoot is reduced by 3.5%, and rise time improves by 0.303 s compared to conventional PID. Testing in both simulation and real environments shows a maximum absolute error of 10.58 mm for cutting height and a correlation coefficient of 0.9474. The rotational speed errors for the reel and auger have expectations of 0.106 rpm and 0.101 rpm, with standard deviations of 0.165 rpm and 0.172 rpm. This validates the controller’s feasibility, shortens development time, and lowers costs.

INMATEH Agricultural Engineering
Shandong University of Technology (CN)
Openalex Percentile: Top 16%
Soil Mechanics and Vehicle Dynamics
1.91
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SEMI-PHYSICAL SIMULATION RESEARCH ON THE CONTROL SYSTEM OF COMBINE HARVESTER CUTTING TABLE — Yihu WANG, Guohai ZHANG, et al. · INMATEH Agricultural Engineering (2025) | TGRS Research Map | TGRS