© The Institution of Engineering and Technology
When a wheeled autonomous robot drives with wheel slips, the velocity and posture control becomes difficult. An ideal automatic driving control system should be able to comply with changes in slip conditions so as to optimise the control performance. Using dual heuristic programming and multi-layer perceptron neural networks, an adaptive critic anti-slip control design is developed to achieve this goal. The critic structure enables neural network learning by satisfying the Bellman equation so that the inclination of the action performance can be assessed to improve the control parameters. A slip model of the robot vehicle is derived. The adaptive critic anti-slip control system is verified extensively by computer simulation. The result shows that the performance is significantly better than that of using traditional fuzzy control.
References
-
-
1)
-
D. Prokhorov ,
D. Wunsch
.
Adaptive critic designs.
IEEE Trans. Neural Netw.
,
997 -
1007
-
2)
-
Lin, W.-S.L., Chuang, M.-K., Tien, G.: `Autonomous mobile robot navigation using stereovision', Proc. IEEE Int. Conf. on Mechatronics, 2005, Taipei, Taiwan, p. 410–415.
-
3)
-
Tsai, P.-S., Wu, T.-F., Chang, F.-R., Wang, L.-S.W.: `Tracking control of nonholonomic mobile robot using hybrid structure', Presented at 6th World Multiconf. on Systemics, Cybernetics and Informatics, 2002, Orlando, Florida.
-
4)
-
G.K. Venayagamoorthy ,
R.G. Harley ,
C.W.D.C. Donald
.
Comparison of heuristic dynamic programming and dual heuristic programming adaptive critics for neurocontrol of a turbogenerator.
IEEE Trans. Neural Netw.
,
3 ,
764 -
773
-
5)
-
W.-S.L. Lin ,
C.-L. Huang ,
M.-K. Chuang
.
Hierarchical fuzzy control for autonomous navigation of wheeled robots.
IEE Proc., Control Theory Appl.
,
5 ,
598 -
606
-
6)
-
S. Haykin
.
Neural networks: a comprehensive foundation.
-
7)
-
Lendaris, G., Shannon, T.: `Application considerations for the DHP methodology', Proc. IEEE Int. Joint Conf. on Neural Networks, 1998, Anchorage, AK, p. 1013–1018.
-
8)
-
D.T. Greenwood
.
(1988)
Principles of dynamics.
-
9)
-
P.J. Werbos ,
D.A. White ,
D.A. Sofge
.
(1992)
Approximate dynamic programming for real-time control and neural modeling, Handbook of intelligent control: neural, fuzzy and adaptive approaches.
-
10)
-
Lendaris, G., Paintz, C., Shannon, T.: `More on training strategies for critic and action neural nets in dual heuristic programming method', Proc. IEEE Conf. on Systems, Man and Cybernetics, October 1997, Orlando, p. 3067–3072.
-
11)
-
Lin, W.-S.L., Huang, C.-L., Chuang, M.-K., Liu, G.-C.: `Modeling a wheeled mobile robot for autonomous navigation design', Proc. IASTED Int. Conf. on Modeling, Identification and Control, February 2004, Grindelwald, Switzerland, p. 275–280.
-
12)
-
R. Bellman
.
(1957)
Dynamic programming.
-
13)
-
Yun, X., Yamamoto, Y.: `Internal dynamics of a wheeled mobile robot', Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 1993, p. 1288–1293.
-
14)
-
D.L. Prokhorov ,
L. Feldkamp
.
Analyzing for Lyapunov stability with adaptive critics.
IEEE Trans. Syst. Man Cybern.
,
1658 -
1661
-
15)
-
F.L. Lewis ,
C.T. Abdallah ,
D.M. Dawson
.
(1993)
Control of robot manipulators.
-
16)
-
D. Prokhorov ,
R. Santiago ,
D. Wunsch
.
Adaptive critic designs: a case study for neurocontrol.
Neural Netw.
,
1367 -
1372
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