TECHNOLOGY OF ADJUSTING THE HEADER HEIGHT OF THE HARVESTER BY MULTI-SENSOR DATA FUSION BASED ON BP NEURAL NETWORK

Author:

JI Kuizhou1,LI Yaoming1,Zhang Tao1,Xia Shengbo1,Cheng Junhui1

Affiliation:

1. Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, Jiangsu University, Zhenjiang 212013, China

Abstract

In this paper, BP neural network is used to collect header height, AMEsim is used to simulate and analyze header height adjustment hydraulic system, and fuzzy PID control is used to adjust header lifting hydraulic cylinder to stabilize header height. The experimental results of harvesting different crops show that under the header height automatic control system, the error between the actual height of crop harvesting and the set height is within 15 mm, and the harvesting effect is good, which can meet the automatic regulation requirements of the header height of the multi crop combine harvester.

Publisher

INMA Bucharest-Romania

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Food Science

Reference13 articles.

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