title: Robust fuzzy logic stabilization with disturbance elimination.
abstract: A robust fuzzy logic controller is proposed for stabilization and disturbance rejection in nonlinear control systems of a particular type. The dynamic feedback controller is designed as a combination of a control law that compensates for nonlinear terms in a control system and a dynamic fuzzy logic controller that addresses unknown model uncertainties and an unmeasured disturbance. Since it is challenging to derive a highly accurate mathematical model, the proposed controller requires only nominal functions of a control system. In this paper, a mathematical derivation is carried out to prove that the controller is able to achieve asymptotic stability by processing state measurements. Robustness here refers to the ability of the controller to asymptotically steer the state vector towards the origin in the presence of model uncertainties and a disturbance input. Simulation results of the robust fuzzy logic controller application in a magnetic levitation system demonstrate the feasibility of the control design.
authors.affiliation: Department of Control & Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, UTM Skudai, 81310 Johor, Malaysia ; UTM Centre for Industrial and Applied Mathematics, Universiti Teknologi Malaysia, UTM Skudai, 81310 Johor, Malaysia.
authors.forename: Kumeresan A
authors.initials: KA
authors.lastname: Danapalasingam
mesh_terms: D017143:Fuzzy Logic; D055641:Mathematical Concepts