The controlling of the Line of Sight (LOS) for inertially
stabilization platform system, which is subjected to uncertainty, is
considered as a challenging problem where the mission capabilities
of stabilized platform depend on its performance improvement. The
work presented in this paper is based on performance comparative
study among five different types of controllers designed to attain an
improved accuracy and a reduced stabilized error for controlling the
line of sight stabilization system. The designed controllers for the
case study are Proportional-Integral (PI) controller tuned classically,
genetically tuned PI controller, Linear Quadratic Regulator (LQR)
controller, Linear Quadratic Gaussian (LQG) controller, and H∞
controller. The controllers' ability of disturbance rejection as well as
their ability to attenuate the outer noise are compered. The
simulations results show the remarkably improved pointing accuracy
for the case study under the presence of both outer disturbances,
induced by vehicle running, and measuring noise which is derived
from feedback sensors.