Abstract

ABSTRACTIn modern fire control systems, Line of Sight (LOS) stabilization plays anessential and crucial part. LOS stabilization systems have a wide range of military andcivilian applications. Their importance arises from the critical applications that employthese systems. Two techniques are used for the LOS stabilization systems, passive andactive. The passive LOS stabilization systems are easy to design and are manufacturedat 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 thearmed forces, where it may be used for constructing fire control systems. The passiveLOS stabilization systems are multi-input multi-output (MIMO) systems that are highlynonlinear and possess a strong coupling effect between their states. It presents achallenging system to control.In this paper the analysis of the passive LOS stabilization system with thedevelopment of its nonlinear mathematical model is derived. Two different types ofcontrol algorithms are presented. The first controller is a Linear Quadratic Gaussiancontroller (LQG). The controller presents a conventional control technique that provesto be stable with high transient and tracking performances. The controller is applied tothe LOS stabilization system and the simulation results are introduced. Next, anintelligent fuzzy controller is introduced. The fuzzy control presents a nonlinear controltechnique that compensates the system's nonlinearity; hence, it is more appropriate tostabilize and control the system under consideration. The fuzzy controller is designed todecouple the relationship between the system state variables. The controller'sperformance is verified through simulations and results. Finally, comparative analysis between the two developed controllers isconducted. It discusses the advantages and disadvantages of each control algorithm.

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