This paper proposes a new strategy for missile attitude control using ahybridization of Linear Quadratic Gaussian (LQG), Loop Transfer Recovery (LTR),and Linear Quadratic Integral (LQI) control techniques. The LQG control designis carried out in two steps i.e. firstly applying Kalman filter for stateestimation in noisy environment and then using the estimated states for anoptimal state feedback control via Linear Quadratic Regulator (LQR). As furthersteps of performance improvement of the missile attitude control system, theLTR and LQI schemes are applied to increase the stability margins and guaranteeset-point tracking performance respectively, while also preserving theoptimality of the LQG. The weighting matrix (Q) and weighting factor (R) of LQGand the LTR fictitious noise coefficient (q) are tuned using Nelder-MeadSimplex optimization technique to make the closed-loop system act faster.Simulations are given to illustrate the validity of the proposed technique.
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