Dynamic optimization in aerospace structures and systems
Year: 2024
Type: article
Abstract: Dynamic optimization is pivotal in the aerospace industry, addressing challenges posed by complex, high-dimensional systems and unpredictable operational conditions. This paper investigates the integration of predictive modeling techniques to enhance dynamic optimization in aerospace structures and systems. Key methodologies include sensitivity analysis, nonlinear model predictive control, and data-driven approaches, each tailored to improve system robustness, reliability, and real-time adaptability. Case studies illustrate the efficacy of these techniques in optimizing spacecraft trajectories, enhancing predictive maintenance, and fortifying structural designs against uncertainties. Despite significant advancements, challenges persist, particularly in scalability and integrating emerging technologies like AI and IoT. This study underscores the transformative potential of predictive modeling for aerospace optimization, advocating for further research to unlock innovations in system performance, safety, and efficiency.
Author: Preity Gonzales
Institution: Vellore Institute of Technology University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W6930736876
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