Line 9: Line 9:
 
physics-based stability metric through screw theory formulation, expressing
 
physics-based stability metric through screw theory formulation, expressing
 
the optical axis dynamics as ˙O = [ω]×O+v, with thermo-mechanical
 
the optical axis dynamics as ˙O = [ω]×O+v, with thermo-mechanical
constraints [ω]×O� < �ω, �v� < �v for engineering implementation. A
+
constraints [ω]×O < ω, v < v for engineering implementation. A
 
novel computational geometry method evaluates multi-sensor alignment
 
novel computational geometry method evaluates multi-sensor alignment
 
errors by solving Ei = si − (si · ˆO)
 
errors by solving Ei = si − (si · ˆO)
 
ˆO
 
ˆO
+ JT�T + Jgg, where JT and Jg
+
+ JTT + Jgg, where JT and Jg
 
represent thermal and gravitational Jacobians. The rigid-flexible coupling
 
represent thermal and gravitational Jacobians. The rigid-flexible coupling
 
model with multi-point constraints (MPC) reveals thermal dominance
 
model with multi-point constraints (MPC) reveals thermal dominance
Line 28: Line 28:
 
“experimental discussion” or “prospect” section, and clarify the research
 
“experimental discussion” or “prospect” section, and clarify the research
 
plan for actual environment testing. The framework provides design
 
plan for actual environment testing. The framework provides design
guidelines for optimal sensor placement minimizing �JT�
+
guidelines for optimal sensor placement minimizing JT
 
F, temperaturedependent
 
F, temperaturedependent
 
calibration protocols, and 0.1 mrad allocable margin for manufacturing
 
calibration protocols, and 0.1 mrad allocable margin for manufacturing
Line 38: Line 38:
 
optical systems and physics-informed error budgeting separating thermal,
 
optical systems and physics-informed error budgeting separating thermal,
 
mechanical, and alignment components.</p>
 
mechanical, and alignment components.</p>
 
 
  
 
== Document ==
 
== Document ==
 
<pdf>Media:Draft_Sanchez Pinedo_726313992-2901-document.pdf</pdf>
 
<pdf>Media:Draft_Sanchez Pinedo_726313992-2901-document.pdf</pdf>

Revision as of 11:31, 29 October 2025

Abstract

Modern electro-optical pods incorporatemulti-spectral sensors for reconnaissance, target acquisition, and laser designation, where sub-milliradian optical axis stability and inter-sensor parallelism are critical for mission success. This paper establishes a unified theoretical framework combining rigid-body kinematics and deformable body mechanics to develop a physics-based stability metric through screw theory formulation, expressing the optical axis dynamics as ˙O = [ω]×O+v, with thermo-mechanical constraints [ω]×O < ω, v < v for engineering implementation. A novel computational geometry method evaluates multi-sensor alignment errors by solving Ei = si − (si · ˆO) ˆO + JTT + Jgg, where JT and Jg represent thermal and gravitational Jacobians. The rigid-flexible coupling model with multi-point constraints (MPC) reveals thermal dominance (0.49 mrad IR sensor pitch displacement at 60◦C, 272× gravitational effect), material sensitivity (CTE mismatch contributing 68% of TV sensor’s azimuthal error), and cross-axis coupling (19% LD error amplification under thermal gradients). However, due to the limitations of current experimental conditions, the experimental validation ismainly carried out in controlled environments. The current experimental validation shows <5% deviation between predicted andmeasured parallelismerrors across −20◦C to 60◦C. In the future, we will supplement the evaluation of the robustness of the control method through existing simulation verifications (such as adding vibration and temperature disturbance models) in the “experimental discussion” or “prospect” section, and clarify the research plan for actual environment testing. The framework provides design guidelines for optimal sensor placement minimizing JT F, temperaturedependent calibration protocols, and 0.1 mrad allocable margin for manufacturing tolerances. This methodology advances electro-optical system engineering fromempirical tuning tomodel-driven optimization, demonstrating 0.12 mrad (3σ) stability in field tests under ISO 9022 environmental stress profiles, with key innovations including the first integration of Lie algebra kinematics with FEM-based deformation analysis for optical systems and physics-informed error budgeting separating thermal, mechanical, and alignment components.

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Published on 27/10/25
Accepted on 14/07/25
Submitted on 09/05/25

Volume 41, Issue 4, 2025
DOI: 10.23967/j.rimni.2025.10.67662
Licence: CC BY-NC-SA license

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