Fuzzy-logic control of an inverted pendulum with vision feedback

In this paper, the authors present an experimental setup of a fuzzy-logic controller of an inverted pendulum that uses vision feedback. The experimental testbed is used at Oregon State University, USA, in senior and first-year graduate courses on automatic control systems to illustrate the usefulness and limitations of this approach. The results that are obtained support the claim, within certain limits, that it is possible to control an inverted pendulum using fuzzy-logic control and vision feedback.

[1]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[2]  W. Grantham,et al.  Lyapunov optimal feedback control of a nonlinear inverted pendulum , 1989 .

[3]  Bart Kosko,et al.  Neural networks and fuzzy systems , 1998 .

[4]  G.-W. van der Linden,et al.  H/sub infinity / control of an experimental inverted pendulum with dry friction , 1992, [Proceedings 1992] The First IEEE Conference on Control Applications.

[5]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[6]  Petre Stoica,et al.  Decentralized Control , 2018, The Control Systems Handbook.

[7]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[8]  A. Ertas,et al.  Real-time response of the simple pendulum: An experimental technique , 1992 .

[9]  G.-W. van der Linden,et al.  H/sub ∞/ control of an experimental inverted pendulum with dry friction , 1993, IEEE Control Systems.

[10]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[11]  Li-Xin Wang,et al.  Adaptive fuzzy systems and control - design and stability analysis , 1994 .

[12]  Kuldip S. Rattan,et al.  Hybrid fuzzy logic PID controller , 1993, Proceedings of the IEEE 1993 National Aerospace and Electronics Conference-NAECON 1993.