农机化研究2024，Vol.46Issue(1)：225-229,233,6.
基于模糊神经网络的农机自动转向系统的设计
Design of Agricultural Machinery Automatic Steering System Based on Fuzzy Neural Network
摘要
Abstract
Modern agricultural production requires agricultural machinery to achieve real-time and efficient control per-formance during field work.In this study,the fuzzy neural network controller based on fuzzy control rules and the im-proved algorithm based on genetic neural network are used to realize the fuzzy neural network controller of the agricultural machinery steering system,and obtain the target output and actual output through the simulation curve when the agricul-tural machinery is working in the field.Based on the Dongfang red tractor,a test platform was built,the output response test and angle test were carried out,and the performance of the control system was analyzed through MatLab simulation.The research results show that the fuzzy neural network controller based on fuzzy control rules and the improved algorithm based on the genetic neural network can effectively shorten the response time of the agricultural steering system,reduce the overshoot,and improve the steering accuracy,which is a more controllable method for agricultural machinery field op-erations.method.关键词
深度学习/神经网络/模糊控制/自动转向/系统控制/农机Key words
deep learning/neural network/fuzzy control/automatic steering/system control/agricultural machinery分类
农业科技引用本文复制引用
王凯,王彦婷,胡延明..基于模糊神经网络的农机自动转向系统的设计[J].农机化研究,2024,46(1):225-229,233,6.基金项目
河南省高校国家级大学生创新创业计划项目(202013498 009S) （202013498 009S）
