Internal forces are brought by the connection of a multilink mechanism as integrated effects of constraint forces at joints, centrifugal/Coriolis forces, and external forces. In this paper, in order to enhance a performance in the stabilization of the total system, the internal forces are considered to be reduced by the nonlinear regulation based on a State-Dependent Riccati Equation (SDRE), where the internal forces are derived by a projection method. The dynamics of individual components and the relations of the constraint motions yield the dynamic model of whole system. Considering a criterion function of which integrands consist of the conventional quadratic forms with the state-dependent weighting matrices, a nonlinear optimal control law for the criterion function, named nonlinear state-dependent controller, is determined by solving the SDRE in real time. As the results of the proposed control, system’s mechanical components would not receive large internal forces and the control performance has been improved. The proposed method is effectively demonstrated by an experiment of a global stabilization control of the 1-link Furuta pendulum at the upright position.

1.
Iwasaki, T., Hara, S., and Yamauchi, H., 2000, “Structure/Control Design Integration With Finite Frequency Positive Real Property,” Proc. of the American Control Conference, Chicago, IL., pp. 549–553.
2.
Blajer
,
W.
,
1992
, “
A Projection Method Approach to Constrained Dynamic Analysis
,”
J. Appl. Mech.
,
59
, pp.
643
649
.
3.
Cloutier, J. R., and Cockburn, J. C., 2001, “The State-Dependent Nonlinear Regulator With State Constraints,” Proc. of the American Control Conference, Arlington, VA., pp. 390–395.
4.
Cloutier, J. R., and Zipfel, P. H., 1999, “Hypersonic Guidance via the State-Dependent Ricatti Equation Control Method,” Proc. of the 1999 IEEE Int. Conf. on Control Applications, Kohala Coast-Island of Hawai’i, pp. 219–224.
5.
Palumbo, N. F., and Jackson, T. D., 1999, “Integrated Missile Guidance and Control: A State Dependent Riccati Differential Equation Approach,” Proc. of the 1999 IEEE Int. Conf. on Control Applications, Kohala Coast-Island of Hawai’i, pp. 243–248.
6.
Xin, M., Balakrishnan, S. N., and Huang, Z., 2001, “Robust State Dependent Riccati Equation Based Robot Manipulator Control,” Proc. of the 2001 IEEE Int. Conf. on Control Applications, Mexico City, Mexico, pp. 369–374.
7.
Furuta, K., 2002, “Super-Mechano Systems,” 15th World Congress of IFAC, Barcelona, Spain, in Plenary lecture.
8.
Lukes
,
W. M.
,
1969
, “
Optimal Regulation of Nonlinear Dynamical Systems
,”
SIAM J. Control Optim.
,
7
(
1
), pp.
75
100
.
9.
Lu
,
W. M.
, and
Doyle
,
J. C.
,
1995
, “
H Control of Nonlinear Systems: a Convex Characterization
,”
IEEE Trans. Autom. Control
,
40
(
9
), pp.
1668
1675
.
10.
Beard
,
R. W.
,
Sardis
,
G. N.
, and
Wen
,
J. T.
,
1997
, “
Galerkin Approximations of the Generalized Hamilton-Jacobi-Bellman Equation
,”
Automatica
,
33
(
12
), pp.
2159
2177
.
11.
Cloutier, J. R., D’Souza, C. N., and Mracek, C. P., 1996, “Nonlinear Regulation and Nonlinear H∞ Control via the State-Dependent Ricatti Equation Technique: Part 1, Theory,” Proc. of the Int. Conf. on Nonlinear Problems in Aviation and Aerospace, Daytona Beach, FL.
12.
Huang, Y., and Jadbabaie, A., 1999, “Nonlinear H∞ Control: An Enhanced Quasi-LPV Approach,” 14th World Congress of IFAC, Beijing, P.R., China, pp. 85–90.
13.
Huang, Y., and Lu, W., 1996, “Nonlinear Optimal Control: Alternatives to Hamilton–Jacobi Equation,” Proc. of the 35th Conf. on Decision and Control, Kobe, Japan, pp. 3942–3947.
14.
Anderson, B. D. O., and Moore, J. B., 1990, Optimal Control—Linear Quadratic Methods, Prentice Hall, Englewood Cliffs, NJ.
15.
Sznaier, M., Cloutier, J., Hull, R., Jacques, D., and Mracek, C., 1998, “A Receding Horizon State Dependent Riccati Equation Approach to Suboptimal Regulation of Nonlinear Systems,” Proc. of the 37th IEEE Conf. on Decision and Control, Tampa, FL, pp. 1792–1797.
16.
Chung
,
C. C.
, and
Hauser
,
J.
,
1995
, “
Nonlinear Control of a Swinging Pendulum
,”
Automatica
,
31
(
6
), pp.
851
862
.
17.
Lin
,
Z.
,
Saberi
,
A.
,
Gutmann
,
M.
, and
Shamash
,
Y. A.
,
1996
, “
Linear Controller for an Inverted Pendulum Having Restricted Rravel: a High-and-Low Approach
,”
Automatica
,
32
(
6
), pp.
933
937
.
18.
A˚stro¨m
,
K. J.
, and
Furuta
,
K.
,
2000
, “
Swinging Up a Pendulum by Energy Control
,”
Automatica
,
36
(
2
), pp.
287
296
.
19.
Xu
,
Y.
,
Iwase
,
M.
, and
Furuta
,
K.
,
2001
, “
Time Optimal Swing-Up Control of Single Pendulum
,”
ASME J. Dyn. Syst., Meas., Control
,
123
, pp.
518
527
.
20.
Furuta
,
K.
,
Yamakita
,
M.
, and
Kobayashi
,
K.
,
1992
, “
Swing-Up Control of Inverted Pendulum Using Pseudo-State Feedback
,”
J. Syst. Control Engineering
,
206
, pp.
263
269
.
21.
Koga
,
M.
,
Toriumi
,
H.
, and
Sampei
,
M.
,
1998
, “
An Integrated Software Environment for Design and Real-Time Implementation of Control Systems
,”
Control Eng. Pract.
,
6
(
10
), pp.
1287
1293
.
You do not currently have access to this content.