Robust Control Systems for Aerospace and Defense Applications

Abstract

Aerospace and defense applications require high-performance control systems capable of handling uncertainty, system disturbances, and varying operational conditions. Robust control systems are designed to ensure stable and optimal performance even in the presence of model uncertainties, external disturbances, and changing environments. This paper explores the role of robust control systems in aerospace and defense, focusing on applications in flight control, missile guidance, unmanned aerial vehicles (UAVs), and satellite systems. We examine the key principles of robust control, such as H-infinity control and Lyapunov-based methods, highlighting their application in real-world aerospace systems. Additionally, the paper addresses the challenges and future directions for the development of robust control systems, including adaptive control, machine learning, and hybrid control approaches.