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Jurnal Teknologi DirgantaraJurnal Teknologi Dirgantara

The RX-450 rocket, developed by the Rocket Technology Center BRIN, serves various purposes, from sounding to military applications. This study focuses on estimating rocket velocity during the launch phase. Using MATLAB for image processing and OpenRocket for simulation, we explore the potential of image processing for velocity estimation, providing a cost-effective alternative. Results show velocity estimations trailing those of OpenRocket, attributed to friction force and setup differences. The study emphasizes the importance of camera positioning for accuracy. Despite differences, image processing shows promise, warranting further refinement.

This study demonstrated the potential of image processing methods for estimating rocket velocity during the launch phase, offering a cost-effective alternative.The results show a similar trend to simulations by OpenRocket, with differences attributed to setup variations and friction forces.The image processing approach has the potential to be further developed, but accuracy is influenced by factors such as camera orientation, calibration, and position.Future research should prioritize refining these aspects and developing improved filter methods to enhance the accuracy and reliability of velocity estimation through image processing.

Further research should investigate the use of stereo cameras to improve the accuracy of velocity estimation, addressing the limitations of single-camera setups. Additionally, exploring automated marker identification methods, such as utilizing the exhaust plume, could streamline the image processing workflow and reduce reliance on manual intervention. Finally, a comprehensive study on the impact of camera calibration and orientation on velocity estimation accuracy is needed, potentially incorporating machine learning techniques to optimize these parameters and develop a more robust and reliable system for rocket velocity measurement during launch, ultimately contributing to improved flight performance analysis and control.

  1. Design Optimization of Propellant Grain and Nozzle Contour to Improve Performance of Solid Rocket Propulsion... doi.org/10.5614/j.eng.technol.sci.2022.54.5.8Design Optimization of Propellant Grain and Nozzle Contour to Improve Performance of Solid Rocket Propulsion doi 10 5614 j eng technol sci 2022 54 5 8
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