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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

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Acceleration control in a dual-stage inertial stabilization system using embedded-parallel-based repetitive-peak

Zhiyong Yu¹, Tianrong Xu², Tao Tang¹

¹National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, China; Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu, China; Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China; University of Chinese Academy of Sciences, Beijing, China.

ISA Transactions

|April 24, 2025

Summary

This study introduces an embedded-parallel control method to improve acceleration control for inertial stabilized motion systems. The new approach enhances vibration rejection, crucial for applications like space optical communications.

Keywords:

Acceleration stabilization Dual-stage inertial system Parallel control Vibration rejection

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Area of Science:

Control Systems Engineering
Aerospace Engineering
Vibration Analysis

Background:

Acceleration control is vital for inertial stabilized motion in systems like space optical communications.
Conventional methods face limitations in mid- to high-frequency gain and nonlinear factors (flexibility, backlash).

Purpose of the Study:

To propose an embedded-parallel stabilization methodology for acceleration-based dual-stage inertial systems.
To enhance notch shaping of the sensitivity function and improve vibration rejection.

Main Methods:

Implementation of a repetitive controller with a low waterbed effect.
Integration of a peak compensator for specific frequency compensation.
Design of an auxiliary mid- to low-frequency peak compensator based on vibration spectrum.

Main Results:

Achieved a 35%-48% improvement in acceleration stabilization performance.
Demonstrated enhanced rejection of non-strictly periodic vibrations beyond the control bandwidth.
Validated the parallel structure's stability and low computational burden.

Conclusions:

The embedded-parallel method effectively improves acceleration stabilization in dual-stage inertial systems.
This approach offers a robust solution for mitigating nonlinear vibrations in sensitive observation systems.
The methodology enhances system performance without significant destabilization or computational overhead.