A Novel Four Rotor Aircraft Adaptive Control Algorithm Based on the Optimized Fuzzy Neural Network

Abstract

Keywords: four rotor aircraft adaptive control algorithm (4R2AC) algorithm, back-stepping (BS). Abstract.A novel four rotor aircraft adaptive control algorithm, taking into account fluffy neural system, is described in this paper. Concentrating on the unverifiable streamlined coefficients which describe the push and torques, an adaptive controller for a four-rotor aircraft is composed in view of Immersion and Invariance approach. A moderately basic model parameterized concerning a couple of obscure parameters is created in order to manage the complex multivariable parameter estimation. For the estimation of those parameters, the four rotor aircraft adaptive control algorithm (4R2AC) algorithm is utilized. The control algorithm is based on the optimized fuzzy neural network method. Numerical recreation delineates the heartiness of the controller against the parametric vulnerabilities and outside aggravations.