农业机械学报2024，Vol.55Issue(7)：37-46,10.DOI:10.6041/j.issn.1000-1298.2024.07.004
基于混合扩张状态观测器的农田平地机液压系统反步滑模控制研究
Backstepping Sliding Mode Control for Hydraulic System in Farmland Leveller Based on Hybrid Extended State Observer
摘要
Abstract
In order to address the issues of low control accuracy and poor anti-interference capability of farmland leveller's hydraulic systems when operating on complex terrains,a backstepping sliding mode controller based on a hybrid extended state observer(HESO)was designed.The HESO estimated the system's unknown states and total disturbances based on output feedback signals and compensates for disturbances in the feedforward channel.The backstepping sliding mode controller,designed based on the fast reaching law,outputed continuous and smooth control quantities,enhancing the system's robustness and overcoming the issues of system nonlinearity and parameter uncertainty.The stability of the proposed observer and controller was proven by using Lyapunov stability theory,resulting in a conclusion of uniformly bounded stability of errors.The effectiveness and superiority of the control algorithm proposed were verified through joint simulations with AMESim and Matlab/Simulink,as well as field experiments.Single flattening experiments on two wavy terrains with relatively complex geomorphology and three traversal experiments on two similar terrains showed that using the proposed control method,the average absolute error,maximum absolute error,and standard deviation of the absolute error of the elevation after flattening compared with the pre-flattening elevation were 0.053 m,0.146 m,0.037 m,and 0.02 m,0.041 m,0.011 m,respectively.These values were reduced by 36.35%,28.32%,31.37%,and 62.6%,50%,51.83%respectively,compared with that of the PID algorithm.关键词
农田平地机/混合扩张状态观测器/反步滑模控制/联合仿真Key words
farmland leveller/hybrid extended state observer/backstepping sliding mode control/joint simulation分类
农业工程引用本文复制引用
魏新华,王庆壮,吉鑫,刘成良,汪岸哲..基于混合扩张状态观测器的农田平地机液压系统反步滑模控制研究[J].农业机械学报,2024,55(7):37-46,10.基金项目
国家重点研发计划项目(2022ZD0115804)、江苏省农业自主创新项目(CX(22)2040)、江苏省重点研发计划项目(BE2021313)、江苏高校优势学科建设工程(四期)项目和常州市科技支撑计划(农业)项目(CE20212026) （2022ZD0115804）
