Active heave compensation systems are usually employed in offshore and deep-sea operations to reduce
the adverse impact of unexpected vessel’s vertical motion on the response of underwater instruments. This paper
presents a control strategy for an active heave compensation system consisting of an electro-hydraulic system
driven by a double rod actuator, which is subjected to parametric uncertainties and unmeasured environmental
disturbances. Adaptive observer and discontinuous projection type updating law with bounded adaption rate are
presented firstly to estimate the uncertain system parameters. Then a similar estimation algorithm is designed
by using a multiple delayed version of the system to enhance the performance of parameter observation. A
reduced order observer is also introduced to estimate unknown wave disturbances. Using the obtained uncertainty
information, the resulting control development and stability analysis are implemented based on the Lyapunov’s
direct method and back-stepping technique. The proposed controller guarantees the heave compensation error
convergent to a bounded neighborhood around the origin. Simulations illustrate the effectiveness of the proposed
control system.
LI Jia-wang1* (李家旺), WANG Xu-yang2 (王旭阳), GE Tong2 (葛彤)
. Adaptive Robust Control for an Active Heave Compensation System[J]. Journal of Shanghai Jiaotong University(Science), 2013
, 18(1)
: 17
-24
.
DOI: 10.1007/s12204-013-1363-8
[1] Korde U A. Active heave compensation on drill-ships in irregular waves [J]. Ocean Engineering, 1998, 25(7):541-561.
[2] Johansen T A, Fossen T I, Sagatun S I, et al. Wave synchronizing crane control during water entry in offshore moonpool operations — experimental results [J]. IEEE Journal of Oceanic Engineering, 2003,28(4): 720-728.
[3] Skaare B, Egeland O. Parallel force/position crane control in marine operations [J]. IEEE Journal of Oceanic Engineering, 2006, 31(3): 599-613.
[4] Messineo S, Celani F, Egeland O. Crane feedback control in offshore moonpool operations [J]. Control Engineering Practice, 2008, 16(3): 356-364.
[5] Marconi L, Isidori A, Serrani A. Autonomous vertical landing on an oscillating platform: An internalmodel based approach [J]. Automatica, 2002, 38(1):21-32.
[6] Serrani A, Isidori A, Marconi L. Semiglobal nonlinear output regulation with adaptive internal model [J]. IEEE Transactions on Automatic Control, 2001, 46(8): 1178-1194.
[7] Messineo S, Serrani A. Offshore crane control based on adaptive external models [J]. Automatica, 2009, 45(11): 2546-2556.
[8] Serrani A. Rejection of harmonic disturbances at the controller input via hybrid adaptive external models [J]. Automatica, 2006, 42(11): 1977-1985.
[9] K¨uchler S, Mahl T, Neupert J, et al. Active control for an offshore crane using prediction of the vessel’s motion [J]. IEEE/ASME Transactions on Mechatronics, 2011, 16(2): 297-309.
[10] Do K D, Pan J. Nonlinear control of an active heave compensation system [J]. Ocean Engineering, 2008, 35(5-6): 558-571.
[11] Alleyne A, Hedirch J K. Nonlinear adaptive control of active suspensions [J]. IEEE Transactions on Control Systems Technology, 1995, 3(1): 94-101.
[12] Yao B, Bu F, Chiu G T C. Non-linear adaptive robust control of electro-hydraulic systems driven by double-rod actuators [J]. International Journal of Control, 2001, 74(8): 761-775.
[13] Guan C, Pan S. Nonlinear adaptive robust control of single-rod electro-hydraulic actuator with unknown nonlinear parameters [J]. IEEE Transactions on Control Systems Technology, 2008, 16(3): 434-445.
[14] Pi Y, Wang X. Trajectory tracking control of a 6-DOF hydraulic parallel robot manipulator with uncertain load disturbances [J]. Control Engineering Practice, 2011, 19: 185-193.
[15] Mohanty A, Yao B. Indirect adaptive robust control of hydraulic manipulators with accurate parameter estimates [J]. IEEE Transactions on Control Systems Technology, 2011, 19(3): 567-575.
[16] Merritt H E. Hydraulic control systems [M]. New York: Wiley, 1967.
[17] Bastin G, Gevers M R. Stable adaptive observers for nonlinear time-varying systems [J]. IEEE Transactions on Automatic Control, 1988, 33(7): 650-658.
[18] Khalil H K. Nonlinear systems [M]. New Jersey: Prentice-Hall, 2002.
[19] Xu A, Zhang Q. Nonlinear system fault diagnosis based on adaptive estimation [J]. Automatica, 2004, 40(7): 1181-1193.
[20] Stamnes ? N, Aamo O M, Kaasa G-O. Redesign of adaptive observers for improved parameter identification in nonlinear systems [J]. Automatica, 2011, 47(2): 403-410.
