F-16/MATV; Optimal Flight Controller Design Using Robust and Discrete Linear Quadrature Gaussian [LQG] Controller

Abstract

This thesis presents the robust controller design for nonlinear F-16/MATV (Multi – Axis – Thrust - Vectoring) flight control system. The linearization of nonlinear flight system is guaranteed by feedback linearization using Tayler series expansion and the optimal LQG controllers are designed to achieve the steady state flight condition. The comparison of the using continuous and discrete LQG is fully discussed for flight control system. First the continuous optimal LQG controller is designed for continuous time state space represented flight dynamic system based on separation principle. But the designed optimal LQG controller requires a very large controller gain to achieve the design objective, which lacks high sensitivity and leads to high cost system. This leads to design a controller using discrete LQG controller for discrete time state space represented flight control system. After implementing this controller into the system in MATLAB Simulink environment, using singular value decomposition technique, it is founded that the performance and robustness of the design objective is satisfied.