ABSTRACT
In modern fire control systems, Line of Sight (LOS) stabilization plays an
essential and crucial part. LOS stabilization systems have a wide range of military and
civilian applications. Their importance arises from the critical applications that employ
these systems. Two techniques are used for the LOS stabilization systems, passive and
active. The passive LOS stabilization systems are easy to design and are manufactured
at a relatively low cost to be interfaced with different types of electro optical systems.
Hence, it can be used to increase the efficiency of many armored vehicles serving in the
armed forces, where it may be used for constructing fire control systems. The passive
LOS stabilization systems are multi-input multi-output (MIMO) systems that are highly
nonlinear and possess a strong coupling effect between their states. It presents a
challenging system to control.
In this paper the analysis of the passive LOS stabilization system with the
development of its nonlinear mathematical model is derived. Two different types of
control algorithms are presented. The first controller is a Linear Quadratic Gaussian
controller (LQG). The controller presents a conventional control technique that proves
to be stable with high transient and tracking performances. The controller is applied to
the LOS stabilization system and the simulation results are introduced. Next, an
intelligent fuzzy controller is introduced. The fuzzy control presents a nonlinear control
technique that compensates the system's nonlinearity; hence, it is more appropriate to
stabilize and control the system under consideration. The fuzzy controller is designed to
decouple the relationship between the system state variables. The controller's
performance is verified through simulations and results. Finally, comparative analysis between the two developed controllers is
conducted. It discusses the advantages and disadvantages of each control algorithm.