Adaptive PD-controller for positioning of a remotely operated vehicle close to an underwater structure: Theory and experiments

Control Engineering Practice

Volumn 15, Issue 4, 2007, Pages 411-419

  Hoang, Nguyen Quang ^a   Kreuzer, Edwin ^a  

^a HAMBURG UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Adaptive PD control; Dynamic positioning; Remotely operated vehicles (ROVs); Underwater vehicles

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; DYNAMIC POSITIONING; LYAPUNOV METHODS; SYSTEM STABILITY;

PASSIVE ARM SYSTEM; TAUT-WIRE SYSTEM;

REMOTELY OPERATED VEHICLES;

ADAPTIVE CONTROL SYSTEMS; COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; DYNAMIC POSITIONING; LYAPUNOV METHODS; REMOTELY OPERATED VEHICLES; SYSTEM STABILITY;

EID: 33846309261     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2006.08.002     Document Type: Article

References (30)

1. Arimoto S., and Miyazaki F. Stability and robustness of PID feedback control for robot manipulators of sensor capability. In: Brady M., and Paul R. (Eds). Robot research (1984), MIT Press, Cambridge 783-799
2. Berghuis H., and Nijmeijer H. Global regulation of robots using only position measurements. Systems and Control Letters 21 (1993) 289-293
3. Caccia M., Coletta P., Bruzzone G., and Veruggio G. Execution control of robotic tasks: A petri net-based approach. Control Engineering Practice 13 8 (2005) 959-971
4. Cheah, C. C., & Sun, Y. C. (2004). Adaptive region control for autonomous underwater vehicles. In Proceedings of the IEEE/MTS OCEANS, Japan (pp. 288-295).
5. Chen Q., Chen H., Wang Y., and Woo P. Robust adaptive trajectory tracking independent of models for robotic manipulators. Journal of Robotic Systems 18 9 (2001) 545-551
6. Cunha, J. P. V., Scieszko, J. L., Costa, R. R., Hsu, l., & Meyer Sant' Anna, A. C. C. (1993). Short range position measurement systems for underwater vehicle dynamic positioning. In Proceedings of IEEE Oceans, (pp. 484-489) Canada: Victoria.
7. Fossen T.I. Guidance and control of ocean vehicles (1994), Wiley, University of Trondheim Norway
8. Fossen T.I., and Balchen J.G. The NEROV autonomous underwater vehicle. OCEANS '91' (1991), Honolulu, Hawaii
9. Fossen T.I., Loria A., and Teel A. A theorem for UGAS and ULES of passive nonautonomous systems: Robust control of mechanical systems and ships. International Journal of Robust Nonlinear Control 11 (2001) 95-108
10. Godhavn J.M., Fossen T.I., and Berge S.P. Nonlinear and adaptive backstepping designs for tracking control of ships. International Journal of Adaptive Control and Signal Processing 12 (1998) 649-679
11. Hapel, K. H. (1990). Festigkeitsanalyse dynamisch beanspruchter Offshore-Konstruktionen, (Strength analysis of offshore structures under dynamic loading), Braunschweig, Vieweg.
12. Hills, S. J., & Yoerger, D. R. (1994). A nonlinear sliding mode autopilot for unmanned undersea vehicles. In OCEANS'94. Oceans engineering for today's technology and tomorrow's preservation. (Vol. 3) (pp. III/93-III/98), Brest, France.
13. Hsu, L., Costa, R. R., Lizarralde, F., & Cunha, J. P. (1999). Passive arm based dynamic positioning system for remotely operated underwater vehicles. 1999 IEEE International conference on robotics and automation, Detroit, MI.
14. Hsu L., Costa R.R., Lizarralde F., and Cunha J.P. Dynamic positioning of remotely operated underwater vehicles. IEEE Robotics and Automation Magazine 7 3 (2000) 21-31
15. Kelly R. Comments on "Adaptive PD controller for robot manipulators". IEEE Transactions on Robotics and Automation 9 1 (1993) 117-119
16. Kelly R., Santibanez V., and Reyes F. A class of adaptive regulators for robot manipulators. International Journal of Adaptive Control and Signal Processing 12 (1998) 41-62
17. Khalil H.K. Nonlinear systems. 2nd ed. (1996), Prentice-Hall, Upper Saddle River, NJ
18. 2D control. SACTA 3 2 (2000) 138-149
19. 2D regulator for robot manipulators. IEEE Transactions on Automatic Control 40 8 (1995) 1432-1436
20. Pan L., and Woo P.Y. PD manipulator controller with fuzzy adaptive gravity compensation. Journal of Robotic Systems 17 2 (2000) 93-106
21. Pepijn, W.J. van de Ven, Johansen, T.A., Serensen, A.J., Flanagan, C., & Toal, D. (2006). Neural network augmented identification of underwater vehicle models. Control Engineering Practice. In press, corrected proof (doi: 10.1016/jconengprac.2005.11.004).
22. Pinto, F. (1996). Theoretische und experimentelle Untersuchung zur Sensorik und Regelung von Unterwasserfahrzeugen, (Theoretical and experimental study of sensors and control of remotely operated underwater vehicles), Fortschritt-Berichte VDI, Reihe 12, Nr. 292, VDI-Verlag, D"usseldorf.
23. Slotine J.J.E. Applied nonlinear control (1991), Prentice-Hall, Englewood Cliffs, NJ
24. Smallwood D.A., and Whitcomb L.L. Model-based dynamic positioning of underwater robotic vehicles: Theory and experiment. IEEE Journal of Oceanic Engineering 29 1 (2004) 169-186
25. Sun, Y. C., & Cheah, C. C. (2003). Adaptive setpoint control for autonomous underwater vehicles. In Proceedings of the 42nd IEEE conference on decision and control. (pp. 1262-1267), Hawaii, USA.
26. Takegaki M., and Arimoto S. A new feedback method for dynamic control of manipulators. Transactions of ASME, Journal of Dynamic Systems, Measurement and Control 102 (1981) 119-125
27. Tomei P. Adaptive PD Controller for robot manipulators. IEEE Transactions on Robotics and Automation 7 4 (1991) 565-570
28. Utkin V. Sliding modes and their application in variable structure control (1978), Mir, Moskow
29. Wen, J.T., & Murphy, S. (1990). PID control for robot manipulators. Technical report 54, CIRSSE.
30. Whitcomb L.L., Rizzi A.A., and Kodischek D.E. Comparative experiments with a new adaptive controller for robot arms. IEEE Transactions on Robotics and Automation 9 1 (1993) 59-70