参数跟踪鲁棒观测器的四旋翼无人机抑振设计

王志豪1,文新宇1,曹松银2,周亮亮3

振动与冲击 ›› 2024, Vol. 43 ›› Issue (9) : 60-68.

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振动与冲击 ›› 2024, Vol. 43 ›› Issue (9) : 60-68.
论文

参数跟踪鲁棒观测器的四旋翼无人机抑振设计

  • 王志豪1,文新宇1,曹松银2,周亮亮3
作者信息 +

Vibration suppression design of quadcopter drone with parameter tracking robust observer

  • WANG Zhihao1, WEN Xinyu1, CAO Songyin2, ZHOU Liangliang3
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文章历史 +

摘要

本文提出一种针对四旋翼无人机振动的参数跟踪鲁棒观测器设计方法。首先构造辅助滤波器激励出振动特性,同时 调节其参数降低噪声对辅助状态变量的影响,将主动振动抑制转化为与频率有关的常值参数估计问题,避免了估计值之间的耦合和冗余参数的运算。然后设计频率参数观测器和跟踪器的级联结构准确估计振动信息。在此基础上,通过辅助变量和频率参数对振动进行重构,设计前馈补偿的控制方法实现了系统的振动抑制。所设计的观测器不仅具有较好的鲁棒性,还避免了传统跟踪器跟踪时变信号带来的相位滞后。最后通过李雅普诺夫定理对系统的性能进行了分析,仿真算例验证了该方法的有效性。

Abstract

The parameter tracking robust observer design method is proposed for a class of quadrotor UAV subject to vibration. Firstly, the auxiliary filter is constructed to excite the vibration properties. Meanwhile, filter parameters are adjusted to reject the adverse effect of noise acting on the auxiliary state variables. The active vibration suppression can be simplified to the constant parameter estimation problem, which avoids the coupling of the estimated values and the operation of redundant parameters. Then a cascade structure of frequency parameter observer and tracker is designed to accurately estimate the vibration information. According to the above analysis, the compensation signal is reconstructed by auxiliary variables and frequency parameters. As a result, satisfactory vibration suppression performance can be achieved in combination with the controller. The designed observer has strong robustness without the phase lag caused by the time varying signal, which is often occurred in the conventional tracker. Finally, the performance of the system is demonstrated using the Lyapunov theorem, and the simulations are used to illustrate the effectiveness of the proposed method.

关键词

四旋翼无人机 / 干扰观测器 / 正弦振动 / 振动抑制

Key words

quadrotor UAV / disturbance observer / sinusoidal vibration / vibration suppression

引用本文

导出引用
王志豪1,文新宇1,曹松银2,周亮亮3. 参数跟踪鲁棒观测器的四旋翼无人机抑振设计[J]. 振动与冲击, 2024, 43(9): 60-68
WANG Zhihao1, WEN Xinyu1, CAO Songyin2, ZHOU Liangliang3. Vibration suppression design of quadcopter drone with parameter tracking robust observer[J]. Journal of Vibration and Shock, 2024, 43(9): 60-68

参考文献

[1] WANG S B, CHEN J, HE X K. An adaptive composite disturbance rejection for attitude control of the agricultural quadrotor UAV [J]. ISA Transactions, 2022, 129: 564-579. [2] SECOG M, JO O, SHIN K. Multi-UAV trajectory optimizer: A sustainable system for wireless data harvesting with deep reinforcement learning [J]. Engineering Applications of Artificial Intelligence, 2023, 120: 105891. [3] LIU W, ZHANG T, HUANG S T, et al. A hybrid optimization framework for UAV reconnaissance mission planning [J]. Computers & Industrial Engineering, 2022, 173: 108653. [4] ALOQAILY M, BOUACHIR O, AL R I, et al. An adaptive UAV positioning model for sustainable smart transportation [J]. Sustainable Cities and Society, 2022, 78: 103617. [5] ZHANG L, LIU Q Z, FAN G W, et al. Parametric control for flexible spacecraft attitude maneuver based on disturbance observer [J]. Aerospace Science and Technology, 2022, 130: 107952. [6] SHI M M, CHENG Y, RONG B, et al. Research on vibration suppression and trajectory tracking control strategy of a flexible link manipulator [J]. Applied Mathematical Modelling, 2022, 110: 78-98. [7] HE T F, WU Z. Neural network disturbance observer with extended weight matrix for spacecraft disturbance attenuation [J]. Aerospace Science and Technology, 2022, 126, 107572. [8] 刘姝阳, 杨洪磊, 张振国, 等. 考虑输出约束及外部干扰的柔性航天器振动控制 [J]. 北京航空航天大学学报, 2022, DOI: 10.13700/j.bh.1001-5965.2022.0622. LIU Shuyang, YANG Honglei, ZHANG Zhenguo, et al. Vibration control of flexible spacecraft with output constraints and external disturbances [J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, DOI: 10.13700/j.bh.1001-5965.2022.0622. [9] 秦武, 朱钢, 上官文斌, 等. 具有扰动观测器的汽车主动悬架滑模控制 [J]. 振动工程学报, 2020, 33(1): 158-167. QIN Wu, ZHU Gang, SHANGGUAN Wenbin, et al. Sliding mode control with disturbance observer for active suspension [J]. Journal of Vibration Engineering, 2020, 33(1): 158-167. [10] 尚东阳, 李小彭, 尹猛, 等. 基于干扰观测器的含有柔性关节的柔性机械臂抑振策略 [J]. 振动与冲击,2022, 41(24):125-133+200. SHANG Dongyang, LI Xiaopen, YIN Meng, et al. Vibration suppression strategy for the flexible manipulator with a flexible joint based on an disturbance observer [J]. Journal of Vibration and Shock, 2022, 41(24): 125-133+200. [11] 王小龙, 黄晋英, 吕海峰, 等. 基于滑模观测器的车辆半主动座椅悬架系统H∞最优控制 [J]. 振动与冲击, 2022, 41(13): 246-251. WANG Xiaolong, HUANG Jinying, L Haifeng, et al. H∞ optimal control of vehicle semi-active seat suspension system based on sliding mode observer [J]. Journal of Vibration and Shock, 2022, 41(13):246-251. [12] ZHAO Z L, GUO B Z. A novel extended state observer for output tracking of MIMO systems with mismatched uncertainty [J]. IEEE Transactions on Automatic Control, 2018, 63(1): 211-218.. [13] KORI D K, KOLHE J P, TALOLE S E. Extended state observer based robust control of wing rock motion [J]. Aerospace Science and Technology, 2014, 33(1): 107-117. [14] Qi G Y, Li X, Chen Z Q. Problems of extended state observer and proposal of compensation function observer for unknown model and application in UAV [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(5): 2899-2910. [15] 齐国元, 李阔, 王琨. 基于补偿函数观测器的四旋翼无人机姿态受限控制 [J]. 吉林大学学报(工学版), 2022, DOI: 10.13229/j.cnki.jdxbgxb20220612. Qi Guoyuan, LI Kuo, WANG Kun. Attitude constrained control of quadrotor UAV based on compensation function observer [J]. Journal of Jilin University (Engineering and Technology Edition), 2022, DOI: 10.13229/j.cnki.jdxbgxb20220612. [16] GUO B Z, ZHAO Z L. On convergence of tracking differentiator [J]. International Journal of Control, 2011, 84(4): 693-701. [17] 鲁力, 王洁, 袁成人, 等. 基于反双曲正切函数的跟踪微分器设计与应用 [J]. 系统工程与电子技术, 2020, 42(12): 2875-2883. LU Li, WANG Jie, YUAN Chengren, et al. Design and application of tracking differentiator based on inverse hyperbolic tangent function [J]. Systems Engineering and Electronics, 2020, 42(12): 2875-2883. [18] WANG S B, REN X M, NA J. Adaptive dynamic surface control based on fuzzy disturbance observer for drive system with elastic coupling [J]. Journal of the Franklin Institute, 2016, 353(8): 1899-1919. [19] HE H X, DUAN H B. A multi-strategy pigeon-inspired optimization approach to active disturbance rejection control parameters tuning for vertical take-off and landing fixed-wing UAV [J]. Chinese Journal of Aeronautics, 2022, 35(1): 19-30. [20] 李俊芳, 李峰, 吉月辉, 等. 四旋翼无人机轨迹稳定跟踪控制 [J]. 控制与决策, 2022, 35(2): 349-356. LI Junfang, LI Feng, JI Yuehui, et al. Trajectory stable tracking control of quadrotor UAV [J]. Control and Decision, 2022, 35(2): 349-356. [21] CUI P L, LIU Z Y, XU H, et al. Harmonic Vibration Force Suppression of Magnetically Suspended Rotor With Frequency-Domain Adaptive LMS [J]. IEEE Sensors Journal, 2020, 20(3): 1166-1175. [22] CUI P L, XU H, LIU Z Y, et al. Improved Second-Order Repetitive Control with Parameter Optimization for Magnetically Suspended Rotor System [J]. IEEE Sensors Journal, 2020, 20(5): 2294-2303. [23] WEN XY, YAN P. Two-layer observer based control for a class of uncertain systems with multi-frequency disturbances [J]. ISA Transactions, 2016, 63(7): 84-92. [24] Tang P, Lin D F, Zheng D, et al. Observer based finite-time fault tolerant quadrotor attitude control with actuator faults [J]. Aerospace Science and Technology, 2020, 104: 105968. [25] 高俊山, 段立勇, 邓立为. 四旋翼无人机抗干扰轨迹跟踪控制 [J]. 控制与决策, 2021, 36(02): 379-386. GAO Junshan, DUAN Liyong, DENG Liwei. Anti-interference trajectory tracking control of quadrotor UAV [J]. Control and Decision, 2021, 36(02): 379-386.

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