Hybrid Fuzzy Logic and Adaptive LQR Controller for Swing-up, Positioning and Stabilization of Inverted Pendulum

Authors

  • R. Urniezius Kaunas University of Technology
  • E. Geguzis Kaunas University of Technology

DOI:

https://doi.org/10.5755/j01.eee.20.3.6675

Keywords:

Fuzzy control, control engineering

Abstract

This paper presents the design and practical implementation of a hybrid fuzzy logic and adaptive linear–quadratic controller (LQR) for a real inverted short pendulum system. We present an extended swing-up approach using fuzzy controller and then discuss an adaptive LQR realization which takes into account nonlinearities while passing the transient process to the upward position of the short pendulum which is mounted on a cart. So long as the cart’s configuration space is restricted by boundary conditions the controller also solves the positioning task, during which the cart returns to the centre of cart’s configuration space. We also discuss the practical realization of such controller logic, embedded into 32-bit microcontroller with the algorithm reaction of 1 ms.

DOI: http://dx.doi.org/10.5755/j01.eee.20.3.6675

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Published

2014-03-12

How to Cite

Urniezius, R., & Geguzis, E. (2014). Hybrid Fuzzy Logic and Adaptive LQR Controller for Swing-up, Positioning and Stabilization of Inverted Pendulum. Elektronika Ir Elektrotechnika, 20(3), 11-15. https://doi.org/10.5755/j01.eee.20.3.6675

Issue

Section

AUTOMATION, ROBOTICS