TY - JOUR T1 - Anfis Based Thrust Estimation of a Small Rotary Wing Drone TT - Anfis Based Thrust Estimation of a Small Rotary Wing Drone AU - Şahin, Hüseyin AU - Oktay, Tugrul AU - Konar, Mehmet PY - 2020 DA - April DO - 10.31590/ejosat.694721 JF - Avrupa Bilim ve Teknoloji Dergisi JO - EJOSAT PB - Osman SAĞDIÇ WT - DergiPark SN - 2148-2683 SP - 738 EP - 742 IS - 18 LA - en AB - Unmanned Aerial Vehicles (UAV) has an increasingly application for military and civilian fields. Currently, UAVs can perform many tasks such as search-rescue, surveillance by safely. UAVs are specifically designed for their using purpose. The designs of UAVs are an important and long process. It is necessary to evaluate many parameters in the thrust system design. Because of thrust system is the most important system of UAVs. Traditional thrust system design is a trial and error method that is costly and ineffective. In this study, we examined that uav which use brushless motor in thrust system. The force generated by the thrust system has been estimated by using the Adaptive Neuro-Fuzzy Inference System (ANFIS). In the ANFIS model, the thrust force estimation was made by using propeller and motor information. RCbenchmark 1580 model dynamometer was used to measure the accuracy of the ANFIS estimates. Mean square error (MSE) was used to compare test data and ANFIS model. Low MSE ratio shows that ANFIS model is near to real data. KW - Electric UAV KW - Thrust KW - ANFIS N2 - Unmanned Aerial Vehicles (UAV) has an increasingly application for military and civilian fields. Currently, UAVs can perform many tasks such as search-rescue, surveillance by safely. UAVs are specifically designed for their using purpose. The designs of UAVs are an important and long process. It is necessary to evaluate many parameters in the thrust system design. Because of thrust system is the most important system of UAVs. Traditional thrust system design is a trial and error method that is costly and ineffective. In this study, we examined that uav which use brushless motor in thrust system. The force generated by the thrust system has been estimated by using the Adaptive Neuro-Fuzzy Inference System (ANFIS). In the ANFIS model, the thrust force estimation was made by using propeller and motor information. RCbenchmark 1580 model dynamometer was used to measure the accuracy of the ANFIS estimates. Mean square error (MSE) was used to compare test data and ANFIS model. Low MSE ratio shows that ANFIS model is near to real data. CR - Barton, J. D. (2012). Fundamentals of Small Unmanned Aircraft Flight. Johns Hopkins APL Technical Digest (Applied Physics Laboratory), 31(2), 132–149. CR - Hobbs, A. (2010). Unmanned Aircraft Systems. In Human Factors in Aviation (pp. 505–531). Elsevier Inc. https://doi.org/10.1016/B978-0-12-374518-7.00016-X CR - Nonami K., Kendoul F., Suzuki S., Wang W., N. D. (2010). 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