Cen Zeng

Dr. Cen Zeng


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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11 July 2022 in Sensors
Verified
Journal Article
Open access
PDF file
ZWZhenyu Wang
Zhenyu Wang
YLYan Liang
Yan Liang
CGChangwei Gong
Changwei Gong
YZYichang Zhou
Yichang Zhou
CZCen Zeng
Cen Zeng
SZSongli Zhu
Songli Zhu
The aim of local path planning for unmanned surface vehicles (USVs) is to avoid unknown dynamic or static obstacles. However, current relative studies have not fully considered the impact of ocean environmental factors which significantly increase the control difficulty and collision risk of USVs. Therefore, this work studies two ocean environmental factors, namely, wave and current, given that they both have a significant impact on USVs. Furthermore, we redesign a kinematic model of an USV and the evaluation function of a classical and practical local path planning method based on the dynamic window approach (DWA). As shown by the results of the simulations, the path length was impacted mainly by the intensity of the environmental load and slightly by the direction of the environmental load, but the navigation time was significantly influenced by both. Taking the situation in still water as a benchmark in terms of the intensity and direction of the environmental factors, the maximum change rates of the path length were 8.6% and 0.6%, respectively, but the maximum change rates of the navigating time were 17.9% and 25.6%, separately. In addition, the average calculation time of each cycle was only 0.0418 s, and the longest time did not exceed the simulation time corresponding to a single cycle of 0.1 s. This method has proven to be a good candidate for real-time local path planning of USVs since it systematically considers the impact of waves and currents on the navigation of USVs, and thus ensures that USVs can adjust to the planned path in time and avoid obstacles when navigating in the real ocean environment.

Verified
Journal Article
Open access
PDF file
JXJiang Xinou
Jiang Xinou
CZCen Zeng
Cen Zeng
LJLiu Jian
Liu Jian
QGQian Gu
Qian Gu
ZWZhenyu Wang
Zhenyu Wang
HPHua Pan
Hua Pan
This paper investigates the stability issues of the Unmanned Surface Vehicle (USV)–Unmanned Underwater Vehicle (ROV) system induced by cable loads under real marine conditions and high-speed operation. This study focuses on the dynamic coupling characteristics of cable forces affecting the unmanned platform and outlines the variation patterns of these forces under different operational scenarios. By developing the dynamic models of the USV, UC, and UUV, a comprehensive system model for the unmanned marine platform is constructed. The accuracy of the cable model is validated through experimental results, and the coupling interference effects of the cable during collaborative operations are systematically analyzed from multiple perspectives. Additionally, the cable tension and force behaviors under high-speed cruising conditions are thoroughly examined. The results provide a solid foundation for the development of cable load prediction models for collaborative marine unmanned platforms, and offer both theoretical and numerical insights for dynamic control strategies based on cable force adjustments.

26 July 2023 in Iranian Journal of Science and Technology, Transactions of Mechanical Engineering
Verified
Journal Article
Closed access
PDF file
LJLiu Jian
Liu Jian
QYQianjin Yue
Qianjin Yue
CZCen Zeng
Cen Zeng
ZYZhang Yabin
Zhang Yabin