Sliding Mode Control Improvement By Using Model Predictive, Fuzzy Logic, and Integral Augmented Techniques For A Quadrotor Helicopter Model

In this paper, a new control method is adopted based on merging multi-input integral sliding mode control with boundary layer (ismc-bl), model predictive control (mpc), and fuzzy logic control (flc). the aim of this merging is to take advantage of mpc ability to deal with constraints and to gain optimal solution. moreover, flc is considered in designing the sliding surface based on fuzzy rules and tracking error. this method is simulated on a nonlinear quadrotor helicopter model. the results reveal that the proposed control approach, which is a multi-input model predictive fuzzy integral sliding mode control with boundary layer (mpfismc-bl), is a robust, stable, optimal, and intelligent control scheme. this finding can contribute to improve the control of similar systems.