Numerical Prediction of Self-propulsion Point of AUV with a Discretized Propeller and MFR Method
文献类型：会议论文
| 作者 | Wu LH(吴利红)2; Feng XS(封锡盛)3 ; Sun, Xiannian2; Zhou, Tongming1
|
| 出版日期 | 2019 |
| 会议日期 | August 8-11, 2019 |
| 会议地点 | Shenyang, China |
| 关键词 | Global path planning Obstacle avoidance algorithm Improved neural network algorithm Adaptive variable stepsize Simulated annealing |
| 页码 | 137-147 |
| 英文摘要 | It is important to determine the self-propulsion point for marine vehicles to evaluate the approaching velocity output from a determined propeller. A method is presented that significantly reduces the computational cost by coupling a discretized propeller with a MFR (Multiple Frames of Reference) method for evaluation of the propulsion factors of AUV (Autonomous Underwater Vehicle). The predicted approaching velocity in this study was approximately 2.8% lower than the design value of 1.0 m/s obtained using nominal wake fraction, which can be attributed to increased energy dissipation for the water at the wake caused by the propeller. The effective wake fraction was 0.303 and the thrust deduction was 0.163.Vortex pairing was found at the blade tip and developed downstream of the propeller. In addition, the hull and tail-planes were beneficial for improving the thrust of the propeller. The proposed method is a viable option to validate fluid dynamics analyses of the unsteady motion of self-propelled marine vehicles simulated with physics-based methods, particularly for cases which have a shortage of experimental data. |
| 产权排序 | 2 |
| 会议录 | Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
 |
| 会议录出版者 | Springer Verlag |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-030-27531-0 |
| WOS记录号 | WOS:000569253400012 |
| 源URL | [http://ir.sia.cn/handle/173321/25492]  |
| 专题 | 沈阳自动化研究所_水下机器人研究室 |
| 通讯作者 | Wu LH(吴利红) |
| 作者单位 | 1.School of Civil and Resource Engineering, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia 2.Ship Building and Ocean Engineering College, Dalian Maritime University, No. 1 Linghai Road, Dalian, China 3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, No. 114 Nanta Road, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Wu LH,Feng XS,Sun, Xiannian,et al. Numerical Prediction of Self-propulsion Point of AUV with a Discretized Propeller and MFR Method[C]. 见:. Shenyang, China. August 8-11, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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