A position control and obstacle avoidance method for quadrotor via approach based on passivity and artificial potential filed

被引:0
作者
Wang Y. [1 ]
Ye H. [1 ]
Yang X. [1 ]
机构
[1] School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang
来源
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2023年 / 44卷
基金
中国国家自然科学基金;
关键词
artificial potential field; fixed-point tracking; obstacle avoidance; passivity control; quadrotor UAV;
D O I
10.7527/S1000-6893.2022.27492
中图分类号
学科分类号
摘要
A control strategy combining the passive control theory and the artificial potential field method is proposed for the quadrotor UAV to solve the problem of position control and obstacle avoidance. This method divides the whole control system into two parts:the outer loop position controller and the inner loop attitude controller. In the design of the outer loop controller,the passivity theory of the cascade system is adopted,and the appropriate potential field function is selected as the storage function to solve the problem of obstacle avoidance in the process of fixed-point tracking. In the design of inner loop controller,quaternion is used to describe the attitude dynamics of the quadrotor UAV,and the inner loop controller is designed based on the Lyapunov function. Furthermore,the interconnection structure of the passive position subsystem and the attitude subsystem is constructed to ensure the stability of the whole closed-loop system. Finally,the simulation results verify the effectiveness and control performance of the proposed control strategy. © 2023 AAAS Press of Chinese Society of Aeronautics and Astronautics. All rights reserved.
引用
收藏
相关论文
共 25 条
[1]  
HU Z Q, HUA C C, ZHANG L L., Finite time prescribed performance control of quadrotor UAVs with time varying disturbances[J], Control and Decision, 37, 12, pp. 3215-3222, (2022)
[2]  
CAO Y N., Moving target recognition and tracking for quadrotor UAV[D]
[3]  
HOU Y Q,, LIANG X L,, HE L L,, Et al., Time-coordinated control for unmanned aerial vehicle swarm cooperative attack on ground-moving target[J], IEEE Access, 7, pp. 106931-106940, (2019)
[4]  
RAMEZANI DOORAKI A, LEE D J., An innovative bio-inspired flight controller for quad-rotor drones:Quad-rotor drone learning to fly using reinforcement learning[J], Robotics and Autonomous Systems, 135, (2021)
[5]  
MA L, YANG W K, Et al., Design of target tracking system for quad-rotor UAV[J], Control Engineering of China, 22, 6, pp. 1076-1081, (2015)
[6]  
MEHMOOD Y, ASLAM J, ULLAH N,, Et al., Adaptive robust trajectory tracking control of multiple quadrotor UAVs with parametric uncertainties and disturbances[J], Sensors, 21, 7, (2021)
[7]  
MOHAMMADKHANI H., Designing a hierarchical model-predictive controller for tracking an unknown ground moving target using a 6-DOF quad-rotor[J], International Journal of Dynamics and Control, 9, 3, pp. 985-999, (2021)
[8]  
GUO J, LIN Z Y., Local control strategy for moving-target-enclosing under dynamically changing network topology[J], Systems and Control Letters, 59, 10, pp. 654-661, (2010)
[9]  
PENG X H,, GUO K X,, LI X,, Et al., Cooperative moving-target enclosing control for multiple nonholo-nomic vehicles using feedback linearization approach[J], IEEE Transactions on Systems,Man,and Cybernetics:Systems, 51, 8, pp. 4929-4935, (2021)
[10]  
KANG B, LIU F,, Et al., A second-order sliding mode controller of quad-rotor UAV based on PID sliding mode surface with unbalanced load[J], Journal of Systems Science and Complexity, 34, 2, pp. 520-536, (2021)