Abstract
This paper reports the design of a Mamdani type fuzzy controller to solve the regulation problem of a Furuta pendulum. The fuzzy rule-base is designed following the fuzzy Lyapunov synthesis, allowing to guarantee stability of the closed-loop system equilibrium point, minimizing heuristics in the fuzzy controller design stage. An important result of this paper is that the dynamic model of the Furuta pendulum it is not necessary in the design process and only angular position of the pendulum is available for measurements.
Keywords
- Fuzzy Controller
- Fuzzy Inference System
- Fuzzy Logic Controller
- Inverted Pendulum
- Unstable Equilibrium Point
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Cazarez-Castro, N.R., Aguilar, L.T., Cardenas-Maciel, S.L., Goribar-Jimenez, C.A. (2014). Pendulum Position Based Fuzzy Regulator of the Furuta Pendulum – A Stable Closed-Loop System Design Approach. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Nature-Inspired Computation and Machine Learning. MICAI 2014. Lecture Notes in Computer Science(), vol 8857. Springer, Cham. https://doi.org/10.1007/978-3-319-13650-9_37
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DOI: https://doi.org/10.1007/978-3-319-13650-9_37
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13649-3
Online ISBN: 978-3-319-13650-9
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