Modeling and Three-Layer Adaptive Diving Control of a Cable-Driven Underwater Parallel Platform

被引:13
|
作者
Xia, Yingkai [1 ,2 ]
Xu, Kan [3 ]
Li, Ye [1 ]
Xu, Guohua [2 ]
Xiang, Xianbo [2 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai 200240, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Naval Architecture & Ocean Engn, Wuhan 430074, Hubei, Peoples R China
[3] Wuhan Second Ship Design & Res Inst, Wuhan 430205, Hubei, Peoples R China
来源
IEEE ACCESS | 2018年 / 6卷
基金
中国国家自然科学基金;
关键词
Cable-driven underwater parallel platform; modeling; three-layer adaptive diving control strategy; improved relative coupling synchronous control; ARBFNN-BSMC; experiment; VEHICLE; MANIPULATOR; VALIDATION; NETWORKS; DYNAMICS; SYSTEMS; DESIGN;
D O I
10.1109/ACCESS.2018.2822774
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper focuses on the modeling, diving controller design, and experiment of a special cable-driven underwater parallel platform with eight-cable coupling drive structure. Kinematic and dynamic models of the platform are established utilizing a simplified approach, and the hydraulic driven control model is derived based on joint-space method. To improve the diving control precision and system robustness despite the complex dynamic behaviors and manifold unknown disturbances, a three-layer adaptive diving control strategy is proposed. Among the three control layers, layer 1 is responsible for dive planning and online monitoring, layer 2 places emphasis on synchronous control by employing an improved relative coupling strategy, layer 3 utilizes an adaptive radial basis function neural network-based backstepping sliding mode control algorithm (ARBFNN-BSMC) to achieve high precision speed control of the single driving branch. Hardware-in-the-loop simulations and experimental results illustrate that the proposed three-layer adaptive diving control strategy can asymptotically drive the cable-driven underwater parallel platform onto a predefined diving trajectory with favorable precision, robustness, and stability.
引用
收藏
页码:24016 / 24034
页数:19
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