There are many publications on the stabilization of an inverted pendulum because it is a typical unstable system and is well used as an example to verify many control theories. However, few approaches consider the inverted pendulum as an unknown parameter system. This paper proposes a new VSS (Variable Structure System) robust adaptive control system including a self-tuning controller for a rotary inverted pendulum all of whose parameters are unknown. The control system provides two kinds of adaptive controllers, and stabilization of the inverted pendulum is achieved by separating the system into two parts, the pendulum and the rotary arm. The rotational angle of the pendulum is stabilized by a tracking-type VSS adaptive control method, and the rotary arm is simultaneously stabilized by an STC (self-tuning control) system that assures the boundary reference angle of the pendulum. It is then not sufficient to construct an STC system using only the adjustable parameters of the VSS adaptive control system. Therefore, all basic parameters are recursively estimated in order to realize the STC system by using the least squares parameter adaptive law, and this is achieved by superimposing the perturbation signal on the stable adaptive control input over a limited short interval. Furthermore, the STC system designs an LQ controller by developing an efficient QR method for real-time operation. Finally, the validity of the proposed system is demonstrated by numerical simulations and practical experimental results. © 2011 Wiley Periodicals, Inc. Electron Comm Jpn, 94(6): 48–58, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.10179
[1]
Petros A. Ioannou.
Robust adaptive controller with zero residual tracking errors
,
1986,
1985 24th IEEE Conference on Decision and Control.
[2]
Katsuhisa Furuta,et al.
VSS adaptive control based on nonlinear model for TITech pendulum
,
1992,
Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation.
[3]
P. Ratiroch-Anant,et al.
Self-Tuning Control for Rotation Type Inverted Pendulum Using Two Kinds of Adaptive Controllers
,
2006,
2006 IEEE Conference on Robotics, Automation and Mechatronics.
[4]
Weiping Li,et al.
Applied Nonlinear Control
,
1991
.
[5]
Jean-Jacques E. Slotine,et al.
Adaptive manipulator control: A case study
,
1988
.
[6]
Petros A. Ioannou,et al.
Robust redesign of adaptive control
,
1984
.
[7]
C.W. Anderson,et al.
Learning to control an inverted pendulum using neural networks
,
1989,
IEEE Control Systems Magazine.
[8]
Takashi Morishita,et al.
Robust Adaptive Control of an Inverted Pendulum System
,
1990
.
[9]
Norihiko Adachi,et al.
Partially Adaptive Control of an Inverted Pendulum and Cart System
,
2001
.
[10]
G. A. Medrano-Cersa.
Robust computer control of an inverted pendulum
,
1999
.
[11]
H. Hirata,et al.
Adaptive motion control of a two-link direct drive manipulator using disturbance observer
,
2002,
2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings..