Design of a fuzzy controller with fuzzy sliding surface
Fuzzy Sets and Systems - Special issue on fuzzy neural control
Brief paper: Sliding mode control of a class of underactuated systems
Automatica (Journal of IFAC)
Controlling a drone: Comparison between a based model method and a fuzzy inference system
Applied Soft Computing
Editorial: Hybrid learning machines
Neurocomputing
Backstepping Approach for Controlling a Quadrotor Using Lagrange Form Dynamics
Journal of Intelligent and Robotic Systems
Logic-oriented neural networks for fuzzy neurocomputing
Neurocomputing
Editorial: Hybrid intelligent algorithms and applications
Information Sciences: an International Journal
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The control of the helicopter includes nonlinearities, uncertainties and external perturbations that should be considered in the design of control laws. This paper presents a control strategy for quadrotor helicopter, based on the coupling of the fuzzy logic control and sliding mode control (SMC), using a nonlinear sliding surface. The main purpose of this work is to eliminate the chattering phenomenon. To achieve our purpose we have used a fuzzy logic control to generate the hitting control signal, the results of our simulations indicate that the control performance of the quadrotor are satisfactory and the proposed fuzzy sliding mode control (FSMC) can achieve favorable tracking performance.