Nailong Wu

Nailong Wu


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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27 January 2015 in Journal of Intelligent & Robotic Systems
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Journal Article
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RYRui Yang
Rui Yang
Benoit CLEMENTBenoit CLEMENT
Benoit CLEMENT
Ali MANSOURAli MANSOUR
Ali MANSOUR
MLMing Li
Ming Li
NWNailong Wu
Nailong Wu

30 June 2016 in Journal of Marine Science and Technology
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Journal Article
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NWNailong Wu
Nailong Wu
XWXu-yang Wang
Xu-yang Wang
TGTong Ge
Tong Ge
CWChao Wu
Chao Wu
RYRui Yang
Rui Yang

8 February 2018 in Applied Sciences
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Journal Article
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NWNailong Wu
Nailong Wu
CWChao Wu
Chao Wu
TGTong Ge
Tong Ge
DYDeqing Yang
Deqing Yang
RYRui Yang
Rui Yang
The motion of an underwater vehicle is prone to be affected by time-varying model parameters and the actuator limitation in control practice. Adaptive control is an effective method to deal with the general system dynamic uncertainties and disturbances. However, the effect of disturbances control on transient dynamics is not prominent. In this paper, we redesign the L 1 adaptive control architecture (L1AC) with anti-windup (AW) compensator to guarantee robust and fast adaption of the underwater vehicle with input saturation and coupling disturbances. To reduce the fluctuation of vehicle states, the Riccati-based AW compensator is utilized to compensate the output signal from L1AC controller via taking proper modification. The proposed method is applied to the pitch channel of REMUS vehicle’s six Degrees Of Freedom (DOF) model with strong nonlinearities and compared with L1AC baseline controller. Simulations show the effectiveness of the proposed control strategy compared to the original L1AC. Besides, the fluctuation in roll channel coupled with pitch channel is suppressed according to the performances of control tests.

1 January 2016 in Journal of Mechanical Engineering
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NWNailong Wu
Nailong Wu

11 April 2018 in Applied Sciences
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Journal Article
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JWJian Wang
Jian Wang
JLJing-Yang Liu
Jing-Yang Liu
HYHong Yi
Hong Yi
NWNailong Wu
Nailong Wu
This study presents a new adaptive trajectory tracking control scheme for a fully actuated Unmanned Surface Vehicle (USV) to track a common moving target region. In this control concept, the desired objective trajectory is specified as a moving region instead of a moving point, and so which is called non-strict trajectory tracking. Within this control scheme, a regression matrix is used to handle the parameter uncertainties, and region-based control scheme is used to track a desired moving region. A switching gain control term based on the exponential function is proposed to make the USV’s trajectory converge into the desired moving region rather than converge on the boundary of the moving region, and to reduce system chattering at the same time. A Lyapunov-like function is presented for stability analysis of the proposed control scheme. Numerical simulations are conducted to demonstrate the performance of the proposed non-strict trajectory tracking control scheme of the USV.