Fuzzy adaptive sliding mode control for a class of uncertain nonlinear MIMO systems with application to a 2DOF Twin propeller

Authors:
Aria Alasti;Hamid Bolandhemat;Navid Dadkhah Tehrani
Affiliations:
Department of Mechanical Engineering, Sharif University of Technology;Department of Aerospace Engineering, Sharif University of Technology;Department of Aerospace Engineering, Sharif University of Technology
Venue:
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Year:
2003

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Abstract

A practical design method is presented which used the fuzzy logic advantages in adaptation of sliding mode control. The combined Fuzzy Adaptive Sliding Control (FASC) is designed in such a way to enhance satisfactory sliding performance and robustness with good level of chattering alleviation. The design approach is valid for a class of nonlinear uncertain MIMO systems. This control algorithm does not require the system model. A supervisory term is appended to the controller to assure the stability of fuzzy sliding mode control through Lyapunov theory. The design approach has been applied to a 2DOF twin propeler system with large uncertainty. Simulation results verified effectiveness of proposed method.