| Design and test of control system for sowing depth of corn seeder based on multi\|sensor fusion |
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| DOI：10.7606/j.issn.1000-7601.2025.04.27 |
| Key Words: corn seeder sowing depth control system Kalman filtering multi\|sensor fusion |
| Author Name | Affiliation | | FENG Tian | College of Mechanical and Electronic Engineering, Northwest A＆F University, Yangling, Shaanxi 712100, China | | HUANG Yuxiang | College of Mechanical and Electronic Engineering, Northwest A＆F University, Yangling, Shaanxi 712100, China
Shaanxi Engineering Research Center for Agriculture Equipment, Yangling, Shaanxi 712100, China | | ZHAO Pengfei | College of Mechanical and Electronic Engineering, Northwest A＆F University, Yangling, Shaanxi 712100, China | | LIU Zhuotao | College of Mechanical and Electronic Engineering, Northwest A＆F University, Yangling, Shaanxi 712100, China | | BI Yubin | College of Mechanical and Electronic Engineering, Northwest A＆F University, Yangling, Shaanxi 712100, China | | JU Xiaoteng | College of Mechanical and Electronic Engineering, Northwest A＆F University, Yangling, Shaanxi 712100, China |
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| Abstract: |
| A multi\|sensor fusion\|based automatic sowing depth control system is proposed to improve the accuracy of sowing depth control for corn seeders operating in complex field terrains, such as those that present challenges to sowing depth consistency. The system primarily comprises a sowing depth control processor, seeding depth detection device, and hydraulic cylinder adjustment device. Ultrasonic sensors and inclination sensors serve as the sowing depth information acquisition devices. The fusion filtering algorithm is utilized to reduce the detection error of individual sensors. The deviation between the fusion filtering signal and the preset seeding depth value is utilized as the feedback input signal of the control system. The control system computes the output signal, and the hydraulic cylinder adjustment device regulates the raising or lowering of the seeding unit to attain real\|time and accurate adjustment of sowing depth. The dynamic calibration test of the sensor demonstrated that, following Kalman filtering processing, the average error of the detection data of the ultrasonic sensor and the inclination sensors was decreased to 0.59 cm and 0.12 cm, respectively. Field experiments revealed that, when setting the sowing depth to 50 mm and controlling the sowing depth at speed gradients of 3~5 km·h-1, 5~7 km·h-1, and 7~9 km·h-1, the maximum error in the average sowing depth was 2.00 mm, and the maximum qualified rate of sowing depth was 95.0%. Furthermore, with the increase of machine speed, the average qualified rate of sowing depth was 90.83%, and the average variation coefficient of sowing depth was 9.9%. This control system satisfies the requirements for ensuring consistent sowing depth and enhancing sowing depth control accuracy for corn seeders. |
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