Multi-objective optimization method for reducing mutual interference in cockpit illumination.

Area of Science:

• Aerospace Engineering
• Optical Engineering
• Human Factors Engineering

Background:

• Cockpits feature complex lighting from multiple devices, causing light interference and overlapping on target surfaces.
• Diverse target surfaces in cockpits have distinct light distribution needs, necessitating a unified optimization approach.
• Simultaneously meeting varied illumination requirements for multiple surfaces presents a significant design challenge.

Purpose of the Study:

• To propose and validate a GPR-NSGA-II framework for predicting and optimizing optical quality parameters in cockpit lighting.
• To address the challenge of simultaneous multi-surface illumination requirement satisfaction in compact cockpit environments.
• To establish a Gaussian process regression (GPR) model for predicting and optimizing cockpit illumination.

Main Methods:

• Developed a GPR-NSGA-II framework integrating Gaussian process regression for prediction and NSGA-II for multi-objective optimization.
• Utilized luminous flux and beam angle as controlled input parameters, with average illumination as constraints.
• Defined uniformity of illuminance and vertical eye position illumination as optimization variables, validated via an orthogonal experiment.

Main Results:

• The GPR-NSGA-II framework successfully predicted and optimized multiple optical quality parameters for cockpit illumination.
• The study generated a dataset through an orthogonal experiment to validate the proposed optimization framework.
• Demonstrated the framework's capability to specify a solution set for luminescence parameters in cockpit lighting.

Conclusions:

• The GPR-NSGA-II framework provides an effective solution for optimizing complex cockpit lighting systems.
• The developed model accurately predicts and optimizes illumination parameters, meeting diverse surface requirements.
• This approach enhances cockpit visibility and potentially improves aviation safety through optimized lighting design.