拖拉机电机矢量控制技术的研究--基于模糊神经网络+ADRC  

The Vector Control Technology of Tractor Based on Fuzzy Neural Network with ADRC

作　　者：单士睿[1] 王保成[2] 赵嘉 Shan Shirui;Wang Baocheng;Zhao Jia(Xuchang Vocational and Technical College,Xuchang 461000,China;Xiangyang Vocational and Technical College,Xiangyang 441053,China;State Grid Shanxi Electric Power Corporation,Taiyuan 030000,China)

机构地区：[1]许昌职业技术学院,河南许昌461000 [2]襄阳职业技术学院,湖北襄阳441021 [3]国网山西省电力公司,太原030000

出　　处：《农机化研究》2022年第1期253-258,共6页Journal of Agricultural Mechanization Research

基　　金：河南省高等学校青年骨干教师培养计划项目(2017GGJS267);山西省重点研发计划重点项目(201603D112001);山西省电力公司科技项目(52053016000W)。

摘　　要：传统PI控制下的拖拉机电机存在控制性能差和自抗扰控制(Active Disturbance Rejection Control,ADRC)参数确定困难等问题。为此,提出了一种基于模糊神经网络+ADRC的拖拉机电机矢量控制技术。首先,确定了适用于拖拉机电机的ADRC模型,在此基础上融合模糊神经网络,充分利用模糊神经网络能够自适应学习的优势,实时调节了ADRC动态参数。最后,进行仿真和实验,验证了基于模糊神经网络+ADRC的拖拉机电机矢量控制技术能够提高系统的控制精度和抗干扰能力。In the view of the shortcomings of the traditional PI control system oftractor,such as low control accuracy,poor robustness and difficulty in determining the parameters of ADRC.The advanced vector control system oftractor based on Fuzzy Neural Network with ADRC is proposed in this paper.The strategy firstly determines the ADRC model which is suitable fortractor.On the basis of this,the function of Fuzzy Neural Network adaptive learning is used to adjust the ADRC parameters in real time,improving the control performance oftractor.Finally,through the simulation and experiment,the advanced vector control system oftractor conld not only improve the control precision and robustness of system but also make better its speed control performance.

关 键 词：拖拉机电机 自抗扰控制 模糊神经网络 抗干扰能力 

分 类 号：S219.0[农业科学—农业机械化工程]