基于模糊神经网络的农机自动转向系统的设计OA

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.