[1]杨续铭,王志胜,邰秀新.基于滑模自抗扰的飞机主动侧杆位置控制[J].机械与电子,2025,(10):49-56.
 YANG Xuming,WANG Zhisheng,TAI Xiuxin.Aircraft Active Sidestick Position Control Based on Sliding Mode Active Disturbance Rejection[J].Machinery & Electronics,2025,(10):49-56.
点击复制

基于滑模自抗扰的飞机主动侧杆位置控制()
分享到:

《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2025年10期
页码:
49-56
栏目:
自动控制与检测
出版日期:
2025-10-25

文章信息/Info

Title:
Aircraft Active Sidestick Position Control Based on Sliding Mode Active Disturbance Rejection
文章编号:
1001-2257 ( 2025 ) 10-0049-08
作者:
杨续铭王志胜邰秀新
南京航空航天大学自动化学院,江苏 南京 211106
Author(s):
YANG Xuming WANG Zhisheng TAI Xiuxin
( School of Automation , Nanjing University of Aeronautics and Astronautics , Nanjing 211106 , China )
关键词:
自抗扰控制滑模控制主动侧杆位置控制
Keywords:
active disturbance rejection control sliding mode control active sidestick position control
分类号:
TP273 ;V227.1
文献标志码:
A
摘要:
针对飞机主动侧杆系统位置控制精度不足、动态响应滞后等问题,提出了一种融合滑模变结构控制与自抗扰控制的复合控制算法。基于滑模控制律的自抗扰控制算法对控制对象的模型误差、参数波动和外部扰动具有极强的不敏感性,可以显著提升主动侧杆的抗干扰能力与位置控制精度。同时,针对主动侧杆系统摩擦转矩、侧杆杆体重力转矩等非线性干扰问题,通过采用降阶扩张状态观测器对系统总扰动进行估计并补偿到控制器中的方法来降低未知干扰对控制效果的影响。仿真结果表明,相较于传统线性自抗扰控制,该算法的自动回中误差降低约 86% ,回中时间减少 12% ,且能有效抵抗18 N?m 范围内的外部扰动力矩。此外,在加入扰动下与传统 PID 算法相比,改进后的主动侧杆位置控制算法跟踪误差减小了约83% ,表明该控制算法在主动侧杆系统位置控制中具有更好的控制精度与抗干扰能力。
Abstract:
A composite control algorithm integrating sliding mode variable structure control and active disturbance rejection control ( ADRC ) is proposed to address the problems of insufficient position control accuracy and dynamic response hysteresis in the aircraft active sidestick system.The ADRC algorithm based on the sliding mode control law is highly insensitive to the model error , parameter fluctuation , and external perturbation of the control object , which can significantly improve the disturbance rejection capability and position control accuracy of the active sidestick.Meanwhile , for the nonlinear disturbance problems such as the friction torque of the active sidestick system and the weight force torque of the sidestick , the influence of the unknown disturbances on the control effect is reduced by adopting a reduced order extended state observer to estimate the total system disturbances and compensate them into the controller. Simulation results show that the algorithm reduces the automatic centering error by about 86% and the centering time by 12% compared with the traditional linear ADRC , and it can effectively resist the external disturbance torque in the range of 18 N · m.In addition , compared with the traditional PID algorithm under added perturbation , the tracking error of the improved active sidestick position control algorithm is reduced by about 83% , which proves that the control algorithm has better control accuracy and disturbance rejection capability in the position control of the active sidestick system.

参考文献/References:

[ 1 ] LI X X , LI B F , LIU H Y.Discussion on the application of active side stick on civil aircraft [ C ] ∥Human Interface and the Management of Information : Information in Applications and Services ( HIMI 2018 ), 2018 : 441-449.

[ 2 ] HOSMAN R J A W , BENARD B , FOURQUET H. Active and passive side stick controllers in manual aircraft control [ C ] ∥1990 IEEE International Conference on Systems , Man , and Cybernetics Conference Proceedings.New York : IEEE , 1990 : 527-529.
[ 3 ] HEGG J W , SMITH M P , YOUNT L.Sidestick controllers for advanced aircraft cockpits [ C ] ∥Proceedings IEEE / AIAA 11th Digital Avionics Systems Conference.New York : IEEE , 1992 : 491-499.
[ 4 ] HUANG Z L N , LU Z R.On active sidestick force control strategy technology [ C ] ∥2018 IEEE CSAA Guidance , Navigation and Control Conference ( CGNCC ) .New York : IEEE , 2018 : 1-5.
[ 5 ] 陈致君 . 基于模型预测控制的飞机主动侧杆伺服控制研究[ D ] . 南京:南京航空航天大学,2023.
[ 6 ] 张旭,孙永荣,陈悦,等 . 基于 ILC 算法的飞机主动侧杆位置控制研究[ J ] . 机械与电子, 2019 , 37 ( 12 ): 42-46.
[ 7 ] 邢皓斌,吴阳明,郑凯,等 . 基于复合非线性反馈 自适应积分滑模的飞机主动侧杆随动控制[ J ] . 弹箭与制导学报,2025 , 45 ( 1 ): 1-7.
[ 8 ] WU J , WANG Z S , GU S J.Finite-time disturbance observer based nonsingular terminal sliding mode control for aircraft active side-sticks [ C ] ∥2024 IEEE 7th Information Technology , Networking , Electronic and Automation Control Conference ( ITNEC ) .New York : IEEE , 2024 : 1450-1455.
[ 9 ] 倪佳龙 . 基于电动式主动侧杆的永磁同步电机伺服控制系统研究[ D ] . 南京:南京航空航天大学,2021.
[ 10 ] 王欢 . 飞机主动侧杆控制方案的研究与设计[ D ] . 南京:南京航空航天大学,2018.
[ 11 ] GAO Z Q.Scaling and bandwidth-parameterization based controller tuning [ C ] ∥ Proceedings of the 2003 American Control Conference.New York : IEEE , 2003 : 4989-4996.
[ 12 ] GHAFARI-KASHANI A R , FAIZ J , YAZDANPANAH M J.Integration of non-linear H∞∞ and sliding mode control techniques for motion control of a permanent magnet synchronous motor [ J ] .IET Electric power applications , 2010 , 4 ( 4 ): 267-280.
[ 13 ] 杨书生,钟宜生 . 永磁同步电机转速伺服系统鲁棒控制器设计 [ J ] . 中国电机工程学报,2009 , 29 ( 3 ):84-90.
[ 14 ] 曾岳南,曾祥彩,蔡豪,等 . 永磁同步电机调速系统自抗扰控制器的设计[ J ] . 电气传动, 2017 , 47 ( 4 ): 3-6.
[ 15 ] GUO B L , BACHA S , ALAMIR M.A review on ADRC based PMSM control designs [ C ] ∥IECON 2017 43rd Annual Conference of the IEEE Industrial Electronics Society.New York : IEEE , 2017 : 1747-1753.
[ 16 ] HEZZI A , ELGHALI S B , BENSALEM Y , et al.ADRC-based robust and resilient control of a 5-phase PMSM driven electric vehicle [ J ] .Machines , 2020 , 8 ( 2 ): 17-34.
[ 17 ] WANG S H , GAN H , LUO Y , et al.A fractional-order ADRC architecture for a PMSM position servo system with improved disturbance rejection [ J ] .Fractal and fractional , 2024 , 8 ( 1 ): 54-73.
[ 18 ] LIU X , XIE H R , LU M , et al.An improved enhanced linear ADRC speed control of the permanent magnet linear synchronous motor [ C ] ∥2023 IEEE 14th International Conference on Power Electronics and Drive Systems ( PEDS ) .New York : IEEE , 2023 : 1-6.
[ 19 ] LIU C Q , LUO G Z , CHEN Z , et al.A linear ADRC based robust high-dynamic double-loop servo system for aircraft electro-mechanical actuators [ J ] .Chinese journal of aeronautics , 2019 , 32 ( 9 ): 2174-2187.
[ 20 ] 韩京清,王伟 . 非线性跟踪 微分器[ J ] . 系统科学与数学,1994 ( 2 ): 177-183.

相似文献/References:

[1]沈 伟1,崔 霞2.泵控马达速度伺服系统自抗扰与PID控制[J].机械与电子,2019,(09):42.
 .Comparative Study of ADRC and PID Control of Hydraulic Motor Controlled by Pump[J].Machinery & Electronics,2019,(10):42.
[2]柯希彪1,郭 琳1,2,等.基于模糊滑模控制策略的永磁同步电机控制[J].机械与电子,2019,(08):60.
 ,,et al.Permanent-magnet Synchronous Motor Control Based on Fuzzy Sliding Mode Control Strategy[J].Machinery & Electronics,2019,(10):60.
[3]韩乃玉1,李志刚1,岳才成2.弹仓的模糊自适应滑模控制[J].机械与电子,2019,(02):62.
 ,Fuzzy Adaptive Sliding Mode Control of the Magazine[J].Machinery & Electronics,2019,(10):62.
[4]祝自豪,李维嘉,李洪果.基于滑模控制的高速大惯性电液位置伺服系统研究[J].机械与电子,2016,(09):55.
 ZHU Zihao,LI Weijia,LI Hongguo.Electro-hydraulic Position Servo System with High Speed and Large Inertia Using Sliding Mode Control[J].Machinery & Electronics,2016,(10):55.
[5]骆继发1,李志刚1,岳才成2.弹丸协调臂的 RBF神经网络自适应滑模控制[J].机械与电子,2019,(11):58.
 ,Adaptive Sliding Mode Control Based on RBF Neural Network for Projectile Transfer Arm[J].Machinery & Electronics,2019,(10):58.
[6]潘润超,李志刚.基于改进自适应趋近律的弹丸协调臂滑模控制[J].机械与电子,2021,(04):43.
 PAN RunChao,LI ZhiGang.Sliding Mode Control of Projectile Coordination Arm Based on Improved Adaptive Approach Law[J].Machinery & Electronics,2021,(10):43.
[7]黄文超,刘 泽,赵思泽,等.自抗扰锁相跟踪系统设计与仿真[J].机械与电子,2021,(07):40.
 HUANG Wenchao,LIU Ze,ZHAO Size,et al.Design and Simulation of Auto-disturbance- rejection Phase-locked Loop[J].Machinery & Electronics,2021,(10):40.
[8]黄丽琼,王园园.基于干扰观测器的时滞非线性切换系统滑模控制方法[J].机械与电子,2022,(10):63.
 HUANG Liqiong,WANG Yuanyuan.Sliding Mode Control Method for Time-delay Nonlinear Switched Systems Based on Disturbance Observer[J].Machinery & Electronics,2022,(10):63.
[9]任一凡,孙后环,刘 陈.基于滑模控制算法的自适应跟车巡航研究[J].机械与电子,2023,41(01):59.
 REN Yifan,SUN Houhuan,LIU Chen.Research on Adaptive Cruise Based on Sliding Mode Control Algorithm[J].Machinery & Electronics,2023,41(10):59.
[10]董洋洋,夏泽群,王永滨,等.基于改进 ESO 的反馈线性化四旋翼无人机姿态控制[J].机械与电子,2023,41(12):31.
 DONG Yangyang,XIA Zequn,WANG Yongbin,et al.Feedback Linearization Attitude Control of Quadrotor UAV Based on Improved ESO[J].Machinery & Electronics,2023,41(10):31.

备注/Memo

备注/Memo:
收稿日期: 2025-05-13
作者简介:杨续铭 ( 2001- ),男,河南新乡人,硕士研究生,研究方向为伺服系统控制;王志胜 ( 1970- ),男,湖北荆门人,博士,教授,博士研究生导师,研究方向为智能机器人技术、智能感知与信息融合等,通信作者, E-mail : wangzhisheng@nuaa.edu.cn ;邰秀新 ( 2001- ),男,安徽马鞍山人,硕士研究生,研究方向为伺服系统控制。
更新日期/Last Update: 2025-11-13