Yang Qu

Prof. Yang Qu

School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 August 2019 in IEEE Transactions on Systems, Man, and Cybernetics: Systems
Verified
Journal Article
Closed access
YQYang Qu
Yang Qu
LCLilong Cai
Lilong Cai
HXHaixiang Xu
Haixiang Xu
This article presents two interrelated problems-along tracking and cross tracking-in guidance design for curved path following for unmanned surface vehicles. Since these two types of directional tracking are interactively constrained in most research work, an iteration mechanism is first put forward to optimize the path parameter in each closed loop such that along tracking will not affect cross tracking in the subsequent time period. An extended line-of-sight (ELOS) guidance principle is then proposed by varying the look-ahead distance with the cross-track error such that sideslip in cross tracking can be promptly compensated through vehicle heading amendment. Both simulation and experimental results verify the effectiveness of the proposed methods, which perform better than the conventional line-of-sight (LOS) and integral LOS (ILOS) guidance laws.

21 June 2022 in IEEE/ASME Transactions on Mechatronics
Verified
Journal Article
Closed access
YQYang Qu
Yang Qu
LCLilong Cai
Lilong Cai
This article presents a nonlinear positioning control method for underactuated marine surface vehicles via the adaptive heading assignment to resist unknown environmental disturbances. A coordinate system rotated about the desired position is established and three control objectives are presented, namely, the along-track error minimization, the yaw-track error minimization, and the rotated adaption of this coordinate system. The last control objective is to minimize the cross-track error by properly making use of the sway disturbance force. The cross-track stability analysis shows that the proposed adaptive law to adjust the rotated coordinate system can make the cross-track system globally bounded and locally exponentially stable when the control gain of the proposed adaptive law is appropriately set. Both simulated and experimental validations demonstrate that the vehicle can keep the preset desired position when the sway disturbance force added to the vehicle hull is close to zero and the vehicle orientation toward the opposite mean disturbance force is maintained at the same time.




Verified
Journal Article
Open access
PDF file
YQYang Qu
Yang Qu
LCLilong Cai
Lilong Cai
This paper presents a real-time emergency collision-avoidance method for unmanned surface vehicles (USVs) with the International Regulations for Preventing Collisions at Sea (COLREGS) flexibly obeyed. The pivotal issue is that some traffic vessels may violate the demands of this convention, which would increase the risk of collision if the USV blindly obeys the COLREGS rules. To avoid mandatory compliance with these COLREGS rules, a real-time truncated velocity obstacle (TVO) algorithm is proposed to assign a collision-free velocity vector for the control system to realize. Considering a reasonable trade-off between safety and the COLREGS rules, the proposed collision-avoidance method expands the TVO’s area based on the velocity uncertainties of traffic vessels, which greatly enhance the safety of collision-avoidance operations and encourage the USV to follow the COLREGS rules. To promptly realize an assigned collision-free velocity, this paper also develops a discrete simultaneous planning and executing (SPAE) controller design. The proposed discrete controller is divided into three parts: online polynomial planning to satisfy the constraints of tracking errors, an accurate uncertainty estimation, and an algebraic control law to promptly execute the planned polynomial. Numerical results have validated the reliability and intelligibility of the proposed collision-avoidance method. Furthermore, simulated and experimental results have validated the effectiveness of the proposed controller design.