TY - JOUR
T1 - Optimal attitude tracking control for an unmanned aerial quadrotor under lumped disturbances
AU - Ding, Li
AU - Li, Yangmin
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Natural Science Foundation of China under Grant No. 5180522, the Foundation Research Project of Jiangsu Province under Grant No. BK20170315.
Publisher Copyright:
© The Author(s) 2020.
PY - 2020/6/4
Y1 - 2020/6/4
N2 - The robust control problem in attitude tracking of an unmanned aerial vehicle quadrotor is a challenging task due to strong parametric uncertainties, large nonlinearities and high couplings in flight dynamics. In this paper, a continuous nonsingular fast terminal sliding mode controller based on linear extended state observer is proposed for attitude tracking control of a quadrotor under lumped disturbances. The proposed control method requires no prior knowledge of the attitude dynamics. It can ensure rapid convergence rate and high tracking precision due to terminal sliding mode surface and fast reaching law. The controller uses the linear extended state observer to reject the influence of both parametric uncertainties and external disturbances. Meanwhile, the nonsingular fast terminal sliding mode control strategy is designed to ensure the state variables to slide to desired points in finite time. To enhance the control performance, a self-adaptive fruit fly optimization algorithm is applied to parameters tuning of the proposed controller. The effectiveness of the proposed control approach is illustrated through numerical simulations and experimental verification.
AB - The robust control problem in attitude tracking of an unmanned aerial vehicle quadrotor is a challenging task due to strong parametric uncertainties, large nonlinearities and high couplings in flight dynamics. In this paper, a continuous nonsingular fast terminal sliding mode controller based on linear extended state observer is proposed for attitude tracking control of a quadrotor under lumped disturbances. The proposed control method requires no prior knowledge of the attitude dynamics. It can ensure rapid convergence rate and high tracking precision due to terminal sliding mode surface and fast reaching law. The controller uses the linear extended state observer to reject the influence of both parametric uncertainties and external disturbances. Meanwhile, the nonsingular fast terminal sliding mode control strategy is designed to ensure the state variables to slide to desired points in finite time. To enhance the control performance, a self-adaptive fruit fly optimization algorithm is applied to parameters tuning of the proposed controller. The effectiveness of the proposed control approach is illustrated through numerical simulations and experimental verification.
KW - attitude tracking control
KW - fruit fly optimization algorithm
KW - linear extended state observer
KW - Quadrotor
KW - terminal sliding mode
UR - http://www.scopus.com/inward/record.url?scp=85085974332&partnerID=8YFLogxK
U2 - 10.1177/1756829320923563
DO - 10.1177/1756829320923563
M3 - Journal article
AN - SCOPUS:85085974332
SN - 1756-8293
VL - 12
SP - 1
EP - 14
JO - International Journal of Micro Air Vehicles
JF - International Journal of Micro Air Vehicles
ER -