Frequency-domain iterative learning control of a marine vibrator |
| |
| Affiliation: | 1. Department of Automatic Control, LTH, Lund University, SE–221 00 Lund, Sweden;2. SubVision AB, Fjelie, Sweden;3. Petroleum Geo-Services (PGS), Houston, TX 77079, USA;1. Control Systems Group, Technische Universität Berlin, Germany;2. Neurological Rehabilitation, Charité Universitätsmedizin Berlin, Germany;3. Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany;1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China;2. Department of Electrical and Computer Engineering, National University of Singapore, 117576, Singapore;3. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China;4. School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China;1. Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University, Wuxi 214122, PR China;2. Institute of Control and Computation Engineering, University of Zielona Góra, ul. Szafrana 2, 65-516 Zielona Góra, Poland;3. Department of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, United Kingdom;1. Advanced Control Systems Lab, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, PR China;2. School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266042, PR China;1. Universidad Politécnica de Pachuca, C. Pachuca-Cd. Sahagún Km 20, C.P. 43830 Zempoala, Hgo, Mexico;2. Universidad Autónoma del Estado de Hidalgo, C. Pachuca-Tulancingo Km 4.5, 42090 Mineral de la Reforma, Hgo, Mexico;3. Universidad Veracruzana, Prolongación Venustiano Carranza S/N, Col. Revolución, C.P. 93390 Poza Rica, Veracruz, Mexico;1. Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland;2. Department of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK |
| |
| Abstract: | To the purpose of marine seismic acquisition, new acoustic sources have been developed to reduce the environmental impact. The use of marine vibrators makes it possible to define emission frequency ranges, consequently allowing limitation of the frequencies that disturb marine animal life. Constructing marine vibrators with high efficiency and linear dynamics is however difficult, and the vibrators suffer from both friction, backlash and high-order harmonics. These nonlinear effects, in combination with drifting dynamics, make the required control a crucial and challenging problem. This paper presents a model-based iterative learning control solution, performed in the frequency-domain. Additionally, an adaptive reidentification algorithm is developed to cope with drifting dynamics. The proposed solutions are successfully evaluated in experiments with a marine vibrator. |
| |
| Keywords: | Iterative learning control Frequency domain Marine seismic acquisition Marine vibrator |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
