Identification the Disturbances of Inertially Stabilized Platform and Control System Realizability Analysis

In this study,we focus on a vehicle-mounted inertially stabilized platform for optical imaging systems,solve two key issues in control system design:how to design a system that meets the requirements of pointing accuracy and analyse whether the system has realizability.We propose a series of methods for disturbance identification,controller design,and control system realizability analysis. First, we analyse the disturbances in typical use cases, about the composition of the signals, and the impact on the pointing accuracy, and propose performance indices for control systems that satisfy the pointing accuracy requirement. Second, we design a series of experiments to identify disturbances,and through kinematics modeling,direct measurement,indirect measurement and equivalents,we confirm the magnitude of the disturbances.Third, we propose design constraints on the robust performance of the stabilization and the track loops of an inertially stabilized platform,as well as an unreliable modeling index.Based on these constraints,we can analyse the realizability of the system during the design phase of a project and optimize mechanical structure, tracker, and controller. Finally, we use the identification results of the disturbances as the input for simulation, select a 10th-order modal model of an azimuth gimbal,and design control systems that satisfy pointing accuracy index.