Abstract
This paper presents a nonlinear optimal feedback control approach for robot manipulators with dynamics nonlinearities. The task of tracking a preplanned trajectory of robot manipulator is formulated as an optimal control problem, in which the energy consumption and motion time are minimized. The optimal control problem is first solved as an open-loop optimal control problem by using a time-scaling transform and the control parameterization method. Then, by virtue of the relationship between the optimal open-loop control and the optimal closed-loop control along the optimal trajectory, a practical method is presented to calculate an approximate optimal feedback gain matrix, without having to solve an optimal control problem involving the complex Riccati-like matrix differential equation coupled with the original system dynamics. Simulation results of two-link robot manipulator are presented to show that the proposed approach is highly effective.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bryson AE, Meier EB (1990) Efficient algorithm for time-optimal control of a two-link manipulator. J Guidance Control Dyn 13:859–866
Constantinescu D, Croft EA (2000) Smooth and time-optimal trajectory planning for industrial manipulators along specified paths. J Rob Syst 17:233–249
Galicki M, Ucinski D (2000) Time-optimal motions of robotic manipulators. Robotica 18:659–667
Hol CWJ, Willigenburg LG, Henten EJ (2001) A new optimization algorithm for singular and non-singular digital time-optimal control of robots. In: Proceedings of IEEE International Conference on Robotics and Automation, pp 1136–1141
Park Jk, Bobrow JE (2005) Reliable computation of minimum-time motions for manipulators moving in obstacle fields using a successive search for minimum overload trajectories. J Robot Syst 22:1–14
Shiller Z (1994) On singular time-optimal control along specified paths. IEEE Trans Robot Autom 10:561–566
Banks S, McCaffrey D (1998) Lie algebras, structure of nonlinear systems and chaotic motion. Int J Bifurcat Chaos 8:1437–1462
Bobasu E, Popescu D (2006) On Modeling and multivariable adaptive control of robotic manipulators. WSEAS Trans Syst 5:1579–1586
Raimondi FM, Melluso M (2004) A neuro fuzzy controller for planar robot manipulators. WSEAS Trans Syst 3:2991–2996
Popescu D (1998) Neural control of manipulators using a supervisory algorithm, International Conference on Automation and Quality Control, Cluj-Napoca, pp A576–A581.
Huang SJ, Lee JS (2000) A stable self-organizing fuzzy controller for robotic motion control. IEEE Trans Syst Man Cybern 47:421–428
Kim YH, Lewis FL (2000) Optimal design of CMAC neural-network controller for robot manipulators. IEEE Trans Syst Man Cybern 30:22–28
Lewis FL, Yesildirek A, liu K (1996) Multilayer neural-net robot controller with guaranteed tracking performance. IEEE Trans Neural Networks 7:388–396
Teo KL, Jennings LS, Lee HWJ, Rehbock V (1999) The control parameterization enhancing transform for constraint optimal control problems. J Austral Math Soc Ser B 40:314–335
Teo KL, Goh CJ, Wong KH (1991) A unified computational approach to optimal control problems. Wiley, New York
Zhou JY, Teo KL, Zhou D, Zhao GH (2009) Nonlinear optimal feedback control for lunar module soft landing, IEEE International Conference on Automation and Logistics, pp 681–688.
Jennings LS, Fisher ME, Teo KL, Goh CJ (1996) MISER3.3 Optimal control software version 3.3: Theory and user manual. Centre for Applied Dynamics and Optimization, The University of Western Australia, Australia
Lee HWJ, Teo KL, Yan WY (1996) Nonlinear optimal feedback control law for a class of nonlinear systems. Parallel Sci Computations 4:157–178
Nguyen TH, Pham TC (2011) Optimal neuro control of robot manipulator, 11th International Conference on Control, Automation and Systems, Gyeonggi-do, Korea, pp 242–247
Acknowledgments
This work was supported by the National Natural Science Foundation of China (61075083), and Henan Province Innovation and Technology Fund for Outstanding Scholarship(0421000500), and the Key Scientific Research Projects of Henan University of technology(09XZD008), and the Science Foundation of Henan University of Technology(150166).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, S., Yi, N., Huang, F. (2014). Nonlinear Optimal Control for Robot Manipulator Trajectory Tracking. In: Sun, F., Li, T., Li, H. (eds) Foundations and Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37829-4_57
Download citation
DOI: https://doi.org/10.1007/978-3-642-37829-4_57
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37828-7
Online ISBN: 978-3-642-37829-4
eBook Packages: EngineeringEngineering (R0)