Dynamic optimization in aerospace structures and systems
B.SC (Physics), VIT, Vellore, India.
Review Article
World Journal of Advanced Research and Reviews, 2024, 24(03), 3229-3232
Publication history:
Received on 22 November 2024; revised on 26 December 2024; accepted on 29 December 2024
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.
Keywords:
Aerospace; Optimization; Engineering
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