A velocity prediction program for an autonomous sailing drone
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In recent, there has been considerable improvement in ocean awareness owing to the use of autonomous vehicles, which have played an important role in helping engineers, researchers, and scientists in observing the environment and gathering oceano-graphic data. Therefore, it is useful to predict the speed of these vehicles. Velocity prediction programs (VPPs) are broadly used as tools to predict sailing yachts’ speeds but existing VPPs are unable to implement the new sail design concepts. Therefore, this study aimed to build a VPP for a particular sailing drone model that unitizes the curvy twin sail design. We theoretically derived relations describing a sailing drone’s motion as that of a rigid body having three degrees of freedom (three DOFs). We were interested in the proposed VPP’s dynamic behavior, the effect of sail designs, and the precise prediction of actual attainable speeds. The algorithm and process for predicting the sailing drone speed were established. The sailing drone VPP model was validated via comparison with previous experimental results, and the model achieved an acceptable level. It was also able to help designers evaluate their sail and hull configurations. In addition, we evaluated the utilization of a sailing drone hull and curvy twin sail. The hydrodynamic results indicated that the speed of the designed sailing drone should be limited to 2.2 m/s. Although the maximum lift coefficient of the curvy twin sail was recorded at an angle of attack (AOA) of 25 °, the optimized AOA for the curvy twin sail was found to be 15 °. The curvy twin sail could improve the sailing drone’s speed under downwind conditions at true wind angles above 40 °. In contrast, it did not work effec-tively compared to wing sails under upwind conditions at true wind angles between 20 ° and 40 °.
Abstract
In recent, there has been considerable improvement in ocean awareness owing to the use of autonomous vehicles, which have played an important role in helping engineers, researchers, and scientists in observing the environment and gathering oceano-graphic data. Therefore, it is useful to predict the speed of these vehicles. Velocity prediction programs (VPPs) are broadly used as tools to predict sailing yachts’ speeds but existing VPPs are unable to implement the new sail design concepts. Therefore, this study aimed to build a VPP for a particular sailing drone model that unitizes the curvy twin sail design. We theoretically derived relations describing a sailing drone’s motion as that of a rigid body having three degrees of freedom (three DOFs). We were interested in the proposed VPP’s dynamic behavior, the effect of sail designs, and the precise prediction of actual attainable speeds. The algorithm and process for predicting the sailing drone speed were established. The sailing drone VPP model was validated via comparison with previous experimental results, and the model achieved an acceptable level. It was also able to help designers evaluate their sail and hull configurations. In addition, we evaluated the utilization of a sailing drone hull and curvy twin sail. The hydrodynamic results indicated that the speed of the designed sailing drone should be limited to 2.2 m/s. Although the maximum lift coefficient of the curvy twin sail was recorded at an angle of attack (AOA) of 25 °, the optimized AOA for the curvy twin sail was found to be 15 °. The curvy twin sail could improve the sailing drone’s speed under downwind conditions at true wind angles above 40 °. In contrast, it did not work effec-tively compared to wing sails under upwind conditions at true wind angles between 20 ° and 40 °.
참고문헌 (28)
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