Optimisation of a fuzzy logic controller using the Bees Algorithm

Pham, Duc Truong, Darwish, A. Haj and Eldukhri, Eldaw Elzaki 2009. Optimisation of a fuzzy logic controller using the Bees Algorithm. International Journal of Computer Aided Engineering and Technology 1 (2) , pp. 250-264. 10.1504/IJCAET.2009.022790

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Abstract

This paper focuses on using the Bees Algorithm in both its basic and enhanced forms to tune the parameters of a fuzzy logic controller developed to stabilise and balance an under-actuated two-link acrobatic robot (ACROBOT) in the upright position. A linear quadratic regulator (LQR) was first developed to obtain the scaling gains needed to design the fuzzy logic controller. Simulation results confirmed that using the Bees Algorithm to optimise the membership functions and the scaling gains of the fuzzy system improved the controller performance.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Advanced Research Computing @ Cardiff (ARCCA) Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords:	Bees Algorithm; optimisation; fuzzy logic; fuzzy control; robot control; linear quadratic regulator; LQR; acrobatic robots; controller design
Publisher:	Inderscience
ISSN:	1757-2657
Last Modified:	10 Oct 2017 14:34
URI:	https://orca.cardiff.ac.uk/id/eprint/34826

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