This paper focuses on high precision leveling control of an underwater heavy load platform, which is viewed as an underwater parallel robot on the basis of its work pattern. The kinematic of platform with deformation is analyzed and the dynamics model of joint space is established. An adaptive backstepping controller according to Lyapunov's function is proposed for leveling control of platform based on joint space. Furthermore, the “lowest point fixed angle error” leveling scheme called “chase” is chosen for leveling control of platform. The digital simulation and practical experiment of single joint space actuator are carried out, and the results show high precision servo control of joint space. On the basis of this, the platform leveling control simulation relies on the hardware-in-loop system. The results indicate that the proposed controller can effectively restrain the influence from system parameter uncertainties and external disturbance to realize high precision leveling control of the underwater platform. 1. Introduction An underwater parallel heavy-load platform based on tension-leg platform is proposed here, and it will be used to carry some special underwater tools for underwater experiments at designated depth. From the viewpoint of topology, the platform can be seen as an underwater flexible parallel robot with advantages of both parallel mechanism and flexible-driven mode. From the viewpoint of control, the platform is a multi-input and multioutput (MIMO) nonlinear system with complex coupling dynamic. Hence, it has certain difficulty to realize the high precision leveling control of platform. At present, the studies on underwater parallel robot control are relatively lacking, so it can be just referred to rigid platform leveling control and flexible parallel robot control technology. The leveling control technology is widely used in engineering machinery, aerospace, military engineering, and other aspects, and its precision will directly affect the accuracy of overall system. Zhai and Ni proposed two leveling methods, respectively, based on position error and angle error aiming at the leveling issue of six supports hydraulic platform on stationary base [1]. Sheng and Qiu designed six-support hydraulic Stewart platform bearing heavy load, proposed computer parameterization leveling algorithm, and constructed electrohydraulic servo automatic leveling system [2, 3]. Ye focused on leveling control of the six-support platform bearing heavy load and then put forward a leveling scheme called “fixed point” scheme [4]. Zhang chose a “highest point
References
[1]
Y. J. Zhai and J. S. Ni, “The self-leveling method for six supports hydraulic platform on stationary base,” Journal of Southeast University, vol. 26, no. 2, pp. 74–80, 1996.
[2]
Y. Sheng and Y. Y. Qiu, “An automatic adjusting algorithm for the hydraulic platform with six legs,” Journal of Xidian University, vol. 29, no. 5, pp. 593–597, 2002.
[3]
Y. Sheng and Y. Y. Qiu, “Automatic leveling system of six supports hydraulic platform,” Hydraulics and Pneumatics, no. 4, pp. 26–28, 1999.
[4]
K. F. Ye, Study on Leveling Control System With High Precision For platform Bearing Heavy Loads, Chongqing University, 2004.
[5]
F. Zhang, Study on Leveling Control System of High Precision Platform, Zhongbei University, 2008.
[6]
S. E. Landsberger, Design And Construction of A cable-Controlled parallel Link manipulator, Massachusetts Institute of Technology, Cambridge, Mass, USA, 1984.
[7]
S. Q. Fang, D. Franitza, M. Torlo, F. Bekes, and M. Hiller, “Motion control of a tendon-based parallel manipulator using optimal tension distribution,” IEEE/ASME Transactions on Mechatronics, vol. 9, no. 3, pp. 561–568, 2004.
[8]
M. Yamamoto, N. Yanai, and A. Mohri, “Trajectory control of incompletely restrained parallel-wire-suspended mechanism based on inverse dynamics,” IEEE Transactions on Robotics, vol. 20, no. 5, pp. 840–850, 2004.
[9]
C. B. Pham, S. H. Yeo, G. Yang, M. S. Kurbanhusen, and I.-M. Chen, “Force-closure workspace analysis of cable-driven parallel mechanisms,” Mechanism and Machine Theory, vol. 41, no. 1, pp. 53–69, 2006.
[10]
B. Zi, Mechanics Analysis and Control Research of the Feed Tracking System For Super Antenna, Xidian University, Xi'an, China, 2007.
[11]
B. Wu, S. L. Wu, and K. D. Zhao, “Current status and development tendence of Stewart platform control strategy,” Machine Tool and Hydraulics, vol. 10, pp. 5–7, 2005.
[12]
C. Guan and S.-A. Zhu, “Multiple sliding mode robust adaptive control of an electro-hydraulic servo system,” Control Theory and Applications, vol. 22, no. 6, pp. 931–938, 2005.
[13]
C. Guan and S. Pan, “Adaptive sliding mode control of electro-hydraulic system with nonlinear unknown parameters,” Control Engineering Practice, vol. 16, no. 11, pp. 1275–1284, 2008.
[14]
A. Karimi and A. Feliachi, “Decentralized adaptive backstepping control of electric power systems,” Electric Power Systems Research, vol. 78, no. 3, pp. 484–493, 2008.
[15]
S.-Y. Ruan, G.-J. Li, X.-H. Jiao, Y.-Z. Sun, and T. T. Lie, “Adaptive control design for VSC-HVDC systems based on backstepping method,” Electric Power Systems Research, vol. 77, no. 5-6, pp. 559–565, 2007.
[16]
C. Hua, G. Feng, and X. Guan, “Robust controller design of a class of nonlinear time delay systems via backstepping method,” Automatica, vol. 44, no. 2, pp. 567–573, 2008.
[17]
T. I. Fossen, Guidance and Control of Ocean Vehicles, Wiley, New York, NY, USA, 1994.
[18]
Q. Guo, Y. Liu, and Y. Liu, “Local structurization kinematic decoupling of six-leg virtual-axis NC machine tool,” IEEE/ASME Transactions on Mechatronics, vol. 7, no. 4, pp. 515–518, 2002.
[19]
B. Zi, B. Y. Duan, J. L. Du, and H. Bao, “Dynamic modeling and active control of a cable-suspended parallel robot,” Mechatronics, vol. 18, no. 1, pp. 1–12, 2008.
[20]
B. Zi, J. B. Cao, and Z. C. Zhu, “Design, dynamics, and workspace of a hybrid-driven-based cable parallel manipulator,” Mathematical Problems in Engineering, vol. 2013, 15 pages, 2013.
[21]
S.-R. Oh and S. K. Agrawal, “A reference governor-based controller for a cable robot under input constraints,” IEEE Transactions on Control Systems Technology, vol. 13, no. 4, pp. 639–645, 2005.
[22]
H. E. Merritt, Hydraulic Control Systems, Wiley, New York, NY, USA, 1976.
[23]
J. L. Tang, Research on Model-Based Adaptive Control of Six-Degree-of-Freedom Hydraulic Motion Platform, Harbin Institute of Technology, Harbin, China, 2009.
[24]
Y.-M. Fang, Y.-C. Han, L.-L. Zhao, and Q. Li, “Adaptive controller for electro-hydraulic servo system with uncertain coefficients in control input,” Control Theory and Applications, vol. 26, no. 2, pp. 156–160, 2009.
[25]
Y.-M. Fang, Z.-X. Jiao, W.-B. Wang, and P.-Z. Shao, “Adaptive backstepping sliding mode control for rolling mill hydraulic servo position system,” Electric Machines and Control, vol. 15, no. 10, pp. 95–100, 2011.
[26]
J. Ni and L. Peng, “An unified modeling on electro hydraulic poistion servo system and nonlinear control,” in Proceedings of the International Conference on Intelligent System Design and Engineering Application (ISDEA '10), pp. 268–272, October 2010.
[27]
G. H. Xu, Z. L. Zeng, and F. Xie, “Dynamic modeling and control of a new underwater loading platform,” in Proceedings of the International Offshore and Polar Engineering, vol. 2, pp. 406–410, Anchorage, Alaska, 2013.
[28]
F. G. Ding, J. Wu, and Y. H. Wang, “Stabilization of an underactuated surface vessel based on adaptive sliding mode and backstepping control,” Mathematical Problems in Engineering, vol. 2013, Article ID 324954, 5 pages, 2013.