考虑输入饱和的固定翼无人机自适应增益滑模控制

doi:10.7527/S1000-6893.2019.23755

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考虑输入饱和的固定翼无人机自适应增益滑模控制

张超凡¹, 董琦²

1. 天津大学电气自动化与信息工程学院, 天津 300072;
2. 中国电子科技集团公司电子科学研究院, 北京 100041

收稿日期:2019-12-13 修回日期:2019-12-23 出版日期:2020-06-30 发布日期:2019-12-26
通讯作者: 董琦 E-mail:dongqiouc@126.com
基金资助:
国家自然科学基金（61803353）；中国科协青年人才托举工程（2018QNRC001）

Adaptive-gain sliding mode control for fixed-wing UAVs with input saturation

ZHANG Chaofan¹, DONG Qi²

1. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China;
2. China Academy of Electronics and Information Technology, Beijing 100041, China

Received:2019-12-13 Revised:2019-12-23 Online:2020-06-30 Published:2019-12-26
Supported by:
National Natural Science Foundation of China (61803353); Young Elite Scientists Sponsorship Program by CAST (2018QNRC001)

摘要/Abstract

摘要： 针对复杂环境下的固定翼无人机飞行控制问题，考虑输入饱和以及复杂外界干扰的影响，提出一种基于自适应滑模控制方法的固定翼无人机飞行控制策略。首先，对固定翼无人机模型进行介绍，将模型分为姿态子系统和速度子系统；其次，针对姿态子系统和速度子系统的特点以及控制需求，分别采用自适应多变量螺旋滑模和自适应快速超螺旋滑模设计姿态控制器和速度控制器，该策略无需设计干扰观测器对外界干扰进行估计，仍然可以实现固定翼无人机对姿态参考指令和速度参考指令的有限时间精确跟踪，并基于Lyapunov的稳定性分析方法证明了闭环系统的稳定性。最后，对本文所提出的控制策略进行了仿真验证，结果表明该控制策略具有良好的控制性能。

关键词: 固定翼无人机, 姿态控制, 速度控制, 自适应增益, 螺旋滑模算法, 快速超螺旋滑模算法

Abstract: Under the effects of complex flight environments, a control strategy for fixed-wing UAVs based on the adaptive sliding mode algorithm is proposed considering external disturbances and the input saturation. Firstly, a fixed-wing UAV model is introduced and further divided into an attitude subsystem and a velocity subsystem. Then, according to different characteristics and control requirements of the two subsystems, a novel adaptive multivariable twisting algorithm and a novel adaptive-gain fast super twisting sliding mode algorithm are proposed to design an attitude controller and a velocity controller for a fixed-wing UAV respectively. In this control strategy, the observer is not needed to estimate the disturbance. The stability of the closed loop systems is proved based on Lyapunov stability analysis. Finally, simulations are conducted to demonstrate the effectiveness and favorable control performance of the proposed strategy.

Key words: fixed-wing UAVs, attitude control, velocity control, adaptive-gain, twisting sliding mode algorithms, fast super-twisting sliding mode algorithms

中图分类号:

张超凡, 董琦. 考虑输入饱和的固定翼无人机自适应增益滑模控制[J]. 航空学报, 2020, 41(S1): 723755-723755.

ZHANG Chaofan, DONG Qi. Adaptive-gain sliding mode control for fixed-wing UAVs with input saturation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(S1): 723755-723755.

参考文献 20

[1]	王彦雄, 祝小平, 周洲. 穿越微下冲气流的飞翼布局无人机控制方法[J]. 航空学报, 2015, 36(5):1673-1683. WANG Y X, ZHU X P, ZHOU Z. A control method of flying wing UAV for penetration of microburst[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(5):1673-1683(in Chinese).
[2]	费爱玲, 李柠, 李少远. 固定翼无人机的自抗扰反步控制[J]. 控制理论与应用, 2016, 33(10):1296-1302. FEI A L, LI N, LI S Y. Active disturbance rejection back-stepping control of fixed-wing unmanned aerial vehicle[J]. Control Theory & Application, 2016, 33(10):1296-1302(in Chinese).
[3]	刘一鸣. 基于Backstepping自适应的固定翼无人机控制方法研究[D]. 哈尔滨:哈尔滨工程大学, 2015. LIU Y M. Study on the control method of fixed-wing UAV based on backstepping adaptive[D]. Harbin:Harbin Engineering University, 2015(in Chinese).
[4]	AKYUREK S, KAYNAK U, KASNAKOGLU C. Altitude control for small fixed-wing aircraft using H ∞, loop-shaping method[J]. IFAC PapersOnLine, 2016, 49(9):111-116.
[5]	ROTONDO D, CRISTOFARO A, GRYTE K, et al. LPV model reference control for fixed-wing UAVs[J]. IFAC-Papers OnLine, 2017, 50(1):11559-11564.
[6]	MULLEN J, BAILEY S C C, HOAGG J B. Filtered dynamic inversion for altitude control of fixed-wing unmanned air vehicles[J]. Aerospace Science and Technology, 2016, 54:241-252.
[7]	HERVAS J R, REYHANOGLU M, TANG H, et al. Nonlinear control of fixed-wing UAVs in presence of stochastic winds[J]. Communications in Nonlinear Science and Numerical Simulation, 2016, 33:57-69.
[8]	CASTAÑEDA H, SALAS-PEÑA O S,DE LEÓN-MORALES J.Extended observer based on adaptive second order sliding mode control for a fixed wing UAV[J].ISA Transactions,2017,66:226-232.
[9]	SHTESSEL Y B, MORENO J A, FRIDMAN L M. Twisting sliding mode control with adaptation:Lyapunov design, methodology and application[J]. Automatica, 2017, 75:229-235.
[10]	PLESTAN F, SHTESSEL Y, BREGEAULT V, et al. New methodologies for adaptive sliding mode control[J]. International Journal of Control, 2010, 83(9):1907-1919.
[11]	SHTESSEL Y, TALEB M, PLESTAN F. A novel adaptive-gain supertwisting sliding mode controller:Methodology and application[J]. Automatica, 2012, 48(5):759-769.
[12]	EDWARDS C, SHTESSEL Y. Adaptive dual-layer super-twisting control and observation[J]. International Journal of Control, 2016, 89(9):1759-1766.
[13]	OBEID H, FRIDMAN L M, LAGHROUCHE S, et al. Barrier function-based adaptive sliding mode control[J]. Automatica, 2018, 93:540-544.
[14]	SHTESSEL Y B, MORENO J A, PLESTAN F, et al. Super-twisting adaptive sliding mode control:A Lyapunov design[C]//49th IEEE Conference on Decision and Control (CDC).Piscataway:IEEE Press, 2010:5109-5113.
[15]	DONG Q, ZONG Q, TIAN B, et al. Adaptive disturbance observer-based finite-time continuous fault-tolerant control for reentry RLV[J]. International Journal of Robust and Nonlinear Control, 2017, 27(18):4275-4295.
[16]	DONG Q, ZONG Q, TIAN B, et al. Adaptive-gain multivariable super-twisting sliding mode control for reentry RLV with torque perturbation[J]. International Journal of Robust and Nonlinear Control, 2017, 27(4):620-638.
[17]	GUO Z, ZHAO J, ZHOU M, et al. On a new adaptive multivariable twisting sliding mode control approach and its application[C]//20183rd International Conference on Control and Robotics Engineering (ICCRE).Piscataway:IEEE Press, 2018:99-103.
[18]	ZHANG Y, TANG S, GUO J. Adaptive-gain fast super-twisting sliding mode fault tolerant control for a reusable launch vehicle in reentry phase[J]. ISA Transactions, 2017, 71:380-390.
[19]	CASTANEDA H, SALAS-PENA O S, DE LEÓN MORALES J. Adaptive super twisting flight control-observer for a fixed wing UAV[C]//2013 International Conference on Unmanned Aircraft Systems (ICUAS). Piscataway:IEEE Press, 2013:1004-1013.
[20]	RAJAPPA S, MASONE C, BVLTHOFF H H, et al. Adaptive super twisting controller for a quadrotor uav[C]//2016 IEEE International Conference on Robotics and Automation (ICRA).Piscataway:IEEE Press, 2016:2971.

E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

考虑输入饱和的固定翼无人机自适应增益滑模控制

Adaptive-gain sliding mode control for fixed-wing UAVs with input saturation

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