Control of a Chain Pendulum: A fuzzy logic approach. Issue 2 (3rd March 2016)

• Record Type: Journal Article
• Authors: Aranda-Escolástico, Ernesto; Guinaldo, María; Santos, Matilde; Dormido, Sebastián
• Is Part Of: International journal of computational intelligence systems. Volume 9:Issue 2(2016)
• Page Start: 281
• Page End: 295
• Publication Date: 2016-03-03
• Subjects: Intelligent control -- fuzzy logic -- rotary inverted pendulum -- stabilization -- Takagi-Sugeno model -- region of attraction -- robustness; Computational intelligence -- Periodicals; 006.305
• DOI: 10.1080/18756891.2016.1150001
• Languages: English
• ISSNs: 1875-6891

Abstract

Abstract: In this paper we present a real application of computational intelligence. Fuzzy control of a non-linear rotary chain pendulum is proposed and implemented on real prototypes. The final aim is to obtain a larger region of attraction for the stabilization of this complex system, that is, a more robust controller. As it is well-known, fuzzy logic exploits the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost when dealing with complex systems. In this case, the control strategy is based on a Takagi-Sugeno fuzzy model of the strongly non-linear multivariable system. Simulation and experimental results on the real plant have been obtained and tested in a rotary inverted pendulum and in a double rotary inverted pendulum. They have been compared to other feedback control strategies such as Full State Feedback or Linear Quadratic Regulator with encouraging results. Fuzzy control allows to enlarge the stability region of control. Indeed, the region of attraction and therefore the stabilization has been enlarged up to over 17% for the real system.