Stabilization of the F-8 Fighter Aircraft Using Model-Based Predictive Control

The aircraft stabilizer stabilizes the aircraft utilizing non-fixed and controllable aerodynamic surfaces. This paper presents a model-based predictive control for F-8 fighter aircraft stabilization. In the proposed control method, meanwhile the real-time optimization, the cost-function is minimized by means of the linearized model of F-8 fighter and the output is predicted in future interval times based on the receding horizon strategy. The cost-function is defined as the aggregate of terminal cost and summation of stage costs, that the quadratic form of cost-function is utilized in control algorithm, eventually. The costfunction minimization is giving rise to stable control input. The extracted stable control input stabilized the states of the nonlinear F-8 fighter system under the various initial conditions. The considerations are taken into account in the controller designing steps, to reduce the computational load. Mathematical proof investigates that the closed-loop system with the proposed control has asymptotic stability. The simulation results well demonstrate the favorable efficiency of the proposed controller in F-8 fighter aircraft stabilization.