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