A Waypoint Following Control Design for a Paraglider Model With Aerodynamic Uncertainty

Wind-Tunnel Measurement of Differential Pressure on the Surface of a Dynamically Inflatable Wing Cell

“…Several works devoted to the development of control models, guidance systems, and trajectory optimization can be found in the literature [9][10][11][12][13][14][15]. Further, a representative number of computational fluid dynamics (CFD)-based aerodynamic characterization is available [6,[16][17][18][19][20].…”

Hybird Nonlinear Control for Fighter With Center of Gravity Perturbation and Aerodynamic Parameter Uncertainty

“…Then the output of the neural network is X X (28) where wj is the neuronal connection weights between the implicit and output layers, calculated directly by least squares, expressed as follows. The global approximation capability and nonlinear fitting ability of the RBF neural network are suitable for fasttemporal and aggressive maneuvers, ensuring that the control law (16) based on this estimation result can effectively compensate the center of gravity perturbation term.…”

“…In order to ensure the flight performance and maneuverability of the fighters, many researchers have addressed the problem of aerodynamic parameter uncertainty in recent years [22][23][24][25].Yun Y et al designed a smooth, fixed-time converging sliding-mode controller for missile flight systems with aerodynamic uncertainty to ensure that the system can track the desired instructions in a consistent finite time under different initial conditions [26]. Ma Y Y et al considered interference suppression and introduced an extended state observer to estimate online the aerodynamic parameter uncertainty term caused by modeling errors in the large-angle state, using feedback linearization and non-singular terminal slide control to ensure the controllability of 90° large-angle flight [27]; Tanaka K et al solved a linear matrix for a powered paraglider transverse lateral model with aerodynamic parameter uncertainty Inequalities are designed with robust nonlinear controllers to make the system stable over the operating domain [28]. However, the above-mentioned methods mostly aim at flight control systems with continuous aerodynamic parameter expressions, and need to control multiple parameters to compensate for the effects of aerodynamic parameter uncertainty, which has high complexity and is difficult to meet the requirements of high reliability of control laws for fighter systems with discrete blowing data.…”