Control design and comprehensive stability analysis of acrobots based on Lyapunov functions

Xu-zhi Lai , Yun-xin Wu , Jin-hua She , Min Wu

Journal of Central South University ›› 2005, Vol. 12 ›› Issue (Suppl 1) : 210 -216.

PDF
Journal of Central South University ›› 2005, Vol. 12 ›› Issue (Suppl 1) : 210 -216. DOI: 10.1007/s11771-005-0401-6
Electro-Mechanical Engineering And Information Science

Control design and comprehensive stability analysis of acrobots based on Lyapunov functions

Author information +
History +
PDF

Abstract

A design method for controllers and a comprehensive stability analysis for an acrobat based on Lyapunov functions are presented. Three control laws based on three Lyapunov functions are designed to increase the energy so as to move the acrobot into the unstable inverted equilibrium position, and solve the problem of posture and energy. The concept of a non-smooth Lyapunov function is employed to analyze the stability of the whole system. The validity of this strategy is demonstrated by simulations.

Keywords

stability / Lyapunov function / acrobot / fuzzy control

Cite this article

Download citation ▾
Xu-zhi Lai, Yun-xin Wu, Jin-hua She, Min Wu. Control design and comprehensive stability analysis of acrobots based on Lyapunov functions. Journal of Central South University, 2005, 12(Suppl 1): 210-216 DOI:10.1007/s11771-005-0401-6

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Oriolo G, Nakamura Y. Control of mechanical systems with second-order nonholonomic constraints: underactuated manipulators[A]. Proc 30th IEEE Conf on Decision and Control[C]. 1991. 2398–2403.

[2]

Hauser J, Murray R M. Nonlinear controllers for non-integrable systems: the acrobot example[A]. Proc of American Control Conference[C]. 1990. 669–671.

[3]

SpongM W. The swing up control problem for the acrobot[J]. IEEE Trans Control Systems, 1995, 15: 49-55

[4]

SpongMark W.. Energy Based Control of a Class of Underactuated Mechanical Systems. IFAC Proceedings Volumes, 1996, 29(1): 2828-2832

[5]

BrownS, PassinK. Intelligent control for acrobot[J]. Journal of Intelligent and Robotic Systems, 1997, 18: 209-248

[6]

Bortoff S A, Spong M W. Pseudolinearization of acrobot using spline functions[A]. Proc 31st IEEE Conf on Decision and Control[C]. 1992. 593–598.

[7]

She Jinhua, Ohyama Y, Hirano K, et al. Motion control of acrobot using time-state control form[A]. Proc IASTED International Conference on Control and Applications[C]. 1998. 171–174.

[8]

Smith M H, Lee M A, Uliea M, et al. Design limitation of PD versus fuzzy controllers for the acrobot[A]. Proc IEEE Int Conf on Robotics and Automation[C]. 1997. 1130–1135.

[9]

Miyazaki M, Sampei M, Koga M, et al. A control of underactuated hopping gait systems: acrobot example [A]. Proc 39th IEEE Conference on Decision and Control[C]. 2000. 4797–4802.

[10]

MalmborgJörgen, BernhardssonBo, ÅströmKarl Johan. A Stabilizing Switching Scheme for Multi Controller Systems. IFAC Proceedings Volumes, 1996, 29(1): 2627-2632

[11]

LaiXu-zhi, SheJin-hua, OhyamaY, et al.. A fuzzy control strategy for acrobot combining model-free and model-based control[A]. IEEE Proceedings in Control Theory and Applications[C], 1999, 146: 505-511

[12]

Schultz D G, Melsa J L. State Functions and Linear Control Systems[M]. McGraw-Hill Book Company, 1967.

[13]

Yamada K, Yuzawa A. Approximate feedback linearization for nonlinear systems and its application to the acrobot[A]. Proc 2002 American Control Conference [C]. 2002. 1672–1677.

[14]

LiberzonDSystems and Control: Foundations and Applications[M], 2003, Boston, Birkhauser

AI Summary AI Mindmap
PDF

70

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/