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hosseinnajad A, Loueipour M. Design of Dynamic Positioning Control System for an ROV with Unknown Dynamics Using Modified Time Delay Estimation. ijmt. 2019; 11 :53-59
URL: http://ijmt.ir/article-1-650-en.html
1- Department of Mechanical Engineering, Isfahan University of Technology
2- Research Institute for Subsea Science and Technology, Isfahan University of Technology
Abstract:   (525 Views)
In this paper, a control system is designed for dynamic positioning of an ROV with unknown dynamics, subject to external disturbances using passive arm measurements. To estimate uncertain dynamics and external disturbances, a new method based on time delay estimation (TDE) is proposed. The proposed TDE, not only maintains the advantages of conventional TDE, but also eliminates its sensitivity to sensor noise and fast-varying external disturbances which in turn, results in smooth control signal. The proposed control system is considered as a nonlinear PD-type controller together with feedforward of estimated dynamics and disturbances. This structure presents good performance against uncertainties and external disturbances which is guaranteed via stability analysis presented. To evaluate the performance of proposed TDE, simulations are conducted and comparison are made with conventional TDE. Besides, the performance of the proposed control system is compared with conventional time delay controller (TDC) and PID controller to verify its performance. Simulations show high accuracy and superior performance of the proposed control system.
Full-Text [PDF 1099 kb]   (115 Downloads)    
Type of Study: Research Paper | Subject: Submarine Hydrodynamic & Design
Received: 2018/10/31 | Accepted: 2019/05/29

References
1. Hosseinnajad, A. and Loueipour, M., (2018), Dynamic Positioning of an ROV with Unknown Dynamics and in the Presence of External Disturbances Using Extended-State Observer, 20th Marine Industries Conference, Tehran, Iran.
2. Yoerger, D. R. and Slotine, J. J. E., (1985), Robust Trajectory Control of Underwater Vehicles, IEEE Journal of Oceanic Engineering, Vol. 10(4), p. 462-470. [DOI:10.1109/JOE.1985.1145131]
3. Healey, A. J. and Lienhard, D., (1993), Multivariable sliding mode control for autonomous diving and steering of unmanned underwater vehicles, IEEE Journal of Oceanic Engineering, Vol. 18(3), p. 327-339. [DOI:10.1109/JOE.1993.236372]
4. Valdovinos, L. G. G., Jimenez, T. S. and Rodriguez, H. T., (2009), Model free high order sliding mode control for ROV: station keeping approach, OCEANS, Biloxi, USA.
5. Conte, G. and Serrani, A., (1998), Robust control of a remotely operated underwater vehicle, Automatica, Vol. 34(3), p. 193-198. [DOI:10.1016/S0005-1098(97)00191-X]
6. Kumar, R. P., Dasgupta, A. and Kumar, C. S., (2006), Robust trajectory control of underwater vehicles using time delay control law, Ocean Engineering, Vol. 34, p. 842-849. [DOI:10.1016/j.oceaneng.2006.04.003]
7. Slotine, J. J. E. and Benedetto, M. D. D., (1990), Hamiltonian adaptive control of spacecraft, IEEE Transactions on Automatic Control, vol. 35(7), p. 848-852. [DOI:10.1109/9.57028]
8. Fossen, T. I. and Sagatun, S. I., (1991), Adaptive control of nonlinear underwater robotic systems, Proceedings of the IEEE International Conference on Robotics and Automation, Sacramento, California.
9. G. Antonelli, S. Chiaverini, N. Sarkar, and M. West, "Adaptive control of autonomous underwater vehicle: Experimental results on ODIN," IEEE Transactions on Control Systems Technology, vol. 9, no. 5, pp. 756-765, 2001. [DOI:10.1109/87.944470]
10. Smallwood, D. A. and Whitcomb, L., (2004), Model-based dynamic positioning of underwater robotic vehicles: theory and experiments, IEEE Journal of Oceanic Engineering, Vol. 29(1), p. 169-186. [DOI:10.1109/JOE.2003.823312]
11. Mohammad, A. R., Eghtesad, M. and Kamali, R., (2011), A robust adaptive fuzzy sliding mode controller for trajectory tracking of ROVs, IEEE Conference on Decision and Control and European Control Conference, Orlando, USA.
12. Patompak, P. and Nikhamhang, I., (2012), Adaptive backstepping sliding mode controller with bound estimation for underwater robotic vehicles, International Conference on Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology, Thailand. [DOI:10.1109/ECTICon.2012.6254254]
13. Liu, Y., Kung, T., Chang, K. and Chen, S., (2013), Observer-based adaptive sliding mode control for pneumatic servo system, Precision Engineering, Vol. 37, p. 522-530. [DOI:10.1016/j.precisioneng.2012.12.003]
14. Yao, J., Jiao, Z., and Ma, D., (2014), Extended-state-observer-based output feedback nonlinear robust control of hydraulic systems with backstepping, IEEE Transactions on Industrial Electronics, Vol. 61(11), p. 6285-6293. [DOI:10.1109/TIE.2014.2304912]
15. Qian, J., Xiong, A., and Ma, W., (2016), Extended state observer-based sliding mode control with new reaching law for PMSM speed control, Mathematical Problems in Engineering, Vol. 2016, https://doi.org/10.1155/2016/6058981 [DOI:10.1155/2016/6058981.]
16. Castaneda, H., Salas-Pena, O., and Leon-Morales, J., (2017), Extended observer based on adaptive second order sliding mode control for a fixed wing UAV, ISA Transactions, Vol. 66, p. 226-232. [DOI:10.1016/j.isatra.2016.09.013]
17. Cui, R., Chen, L., Yang, C., and Chen, M., (2017), extended state observer-based integral sliding mode control for an underwater robot with unknown disturbances and uncertain nonlinearities" IEEE Transactions on Industrial Electronics, Vol. 64(8), p. 6785-6795. [DOI:10.1109/TIE.2017.2694410]
18. Tong, S., Wang, T., Li, Y., and Zhang, H., (2014), Adaptive neural network output feedback control for stochastic nonlinear systems with unknown dead-zone and unkodeled dynamics, IEEE Transactions on Cybernetics, Vol. 44(4), p. 910-921. [DOI:10.1109/TCYB.2013.2276043]
19. Hu, X., Du, J., and Shi, J., (2015), Adaptive fuzzy controller design for dynamic positioning system of vessels, Applied Ocean Research, Vol. 53, p.46-53. [DOI:10.1016/j.apor.2015.07.005]
20. He, W., Huang, H., and Ge, S. S., (2017), Adaptive neural network control of a robotic manipulator with time-varying output constraints, IEEE Transactions on Cybernetics, Vol. 47(10), p. 3136 - 3147. [DOI:10.1109/TCYB.2017.2711961]
21. Elmali, H., and Olgac, N., (1992), Theory and implementation of sliding mode control with perturbation estimation (SMCPE), IEEE International Conference on Robotics and Automation, Nice, France.
22. Kim, J., Joe, H., Yu, S., Lee, J. S., and Kim, M., (2016), Time delay controller design for position aly.control of autonomous underwater vehicles under disturbances, IEEE Transactions on Industrial Electronics, p. 1-10, DOI: 10.1109/TIE.2015.2477270. [DOI:10.1109/TIE.2015.2477270]
23. Hsu, L., Costa, R. R., Lizarralde, F., and Cunha, J. P., (1999), Passive Arm based dynamic positioning system for remotely operated underwater vehicle, Proceedings of the IEEE international Conference on Robotics and Automation, Michigan, USA.
24. Hsu, L., Costa, R. R., Lizarralde, F., and Cunha, J. P., (2000), Dynamic positioning of remotely operated underwater vehicles, IEEE Robotics and Automation Magazine, Vol. 7(3), p. 21-31. [DOI:10.1109/100.876908]
25. Hoang, N. Q., and Kreuzer, E., (2006), adaptive PD-controller for positioning of a remotely operated vehicle close to an underwater structure: theory and experiments, Control Engineering Practice, Vol. 15, p. 411-419. [DOI:10.1016/j.conengprac.2006.08.002]
26. Lei, Q., Lixing, Z., and Weidong, Z., (2016), robust adaptive PID control for positioning of remotely operated vehicles working in close proximity of underwater structures, 35th Chinese Control Conference.
27. Candeloro, M., Sorensen, A. J., Longhi, S., and Dukan, F., (2012), Observers for dynamic positioning of ROVs with Experimental results, IFAC Conference on Maneuvering and Control of Marine Craft, Arenzano, Italy [DOI:10.3182/20120919-3-IT-2046.00015]

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