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