An angle velocity of blade and lift force relationship of the single rotor system

Al Al


Problems in utilizing Quadcopter, either as a hobby or as special needs are still many obstacles or weaknesses such as; plane easy to fall; plane easy hit; the battery is not durable; vulnerable to weather conditions and others. In this regard, Quadcopter's research and development has grown to include weaknesses of existing Quadcopter planes and to improve aircraft facilities and capabilities. In developing the knowledge and information about the Quadcopter aircraft, the data or parameters related to aircraft lift capability factors; fly long; flying high; type of motor used; the type of propeller used; including the sensors and control systems used. Thus, this study was to find the relationship between changes in the BLDC motor voltage source to the rotor angle velocity (ω); Change of rotor speed to wind velocity through rotor (v); change of rotor speed to rotor lift (Ft); change of wind speed to rotor lift; push the following rotor (Ct). In this study, empirical testing was conducted in the laboratory to determine the relationship among others: changes in the BLDC motor voltage source to the rotor angle velocity (ω); Change of rotor speed to wind velocity through rotor (v); change of rotor speed to rotor lift (Ft); change of wind speed to rotor lift; push the following rotor (Ct). Test and measurement results data show that; the relationship between lift power generated with rotational speed is not proportional Nonlinearity occurs when the rotor is released from the self and starts pulling the strain gauge when the rotation speed reaches around 65 rps. Once the rotation speed of the rotor is able to reach up to 1.5 Newton lift then the thrust rising trend increasing sharply to the increasing the speed of rotation of the rotor. A special rotor that has BLDC motor specifications such as; 1200 KV, 5 Volt and 30 Ampere; blade with a radius of r 0.12 m; at a temperature of about 27 oC; in the condition there are no other wind currents then obtained thrust (Ct) of 1.732.


 Keywords: Rotation Speed, Thrust Coefficient, Quadcopter.

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A. Al, Arfita Yuana Dewi, Joko Ade Saputro, “Quadcopter capability development for additional low voltage distribution network location tracking”, International conference of aplied science on emngineering, business, linguistics and information technology, Padang-Indonesia, October 14 th , 2017.

Parag Parihar, Priyanshu Bhawsar, Piyush Hargod, “Design & Development Analysis of Quadcopter”, COMPUSOFT, An international journal of advanced computer technology, 5 (6), June-2016 (Volume-V, Issue-VI

Oyvind Magnussen, Morten Ottestad, Geir Hovland, “Multicopter Design Optimization and Validation”, Modeling, Identification and Control, Vol. 36, No. 2, 2015, pp. 67–79, ISSN 1890–1328

A. Al, “An Improved a Quadcopter Capability for Forestall Bump with The Ultrasonic HC SR04 Proximity Sensor Design,” International Conference on Technology, Innovation, and Society (ICTIS) 2016.

Pounds, P., Mahony, R., and Corke, P., “Modelling and Control of a Quad-Rotor Robot,” In Proceedings of the Australasian Conference on Robotics and Automation, 2006.

Yamika Patel, Anant Gaurav, Krovvidi Srinivas, Yamal Singh, “A Review on Design and Analysis of the propeller used in UAV”. International Journal of Advanced Production and Industrial Engineering, 2016 IJAPIE-SI-IDCM 605 (2017) 20–23. Available online at

Tao Jiang, Jared Geller, Daiheng Ni, John Collura,” Unmanned Aircraft System traffic management: Concept of operation and system architecture,” International Journal of Transportation Science and Technology 5 (2016) 123–135.

Giuseppe Guido, Vincenzo Gallelli, Daniele Rogano, Alessandro Vitale,”Evaluating the accuracy of vehicle tracking data obtained from Unmanned Aerial Vehicles” International Journal of Transportation Science and Technology 2016 V-5 pp.136–151.

Adam Babinec a, Jiri Apeltauer, “On accuracy of position estimation from aerial imagery captured by low-flying UAVs”, International Journal of Transportation Science and Technology, 2016, v.5 pp. 152–166

S. Patel Karana, B. Patel Saumil, “CFD Analysis of an Aerofoil”, International Journal of Engineering Research, Volume No.3, Issue No.3, pp : 154-158,2014.

Krajn´ık, T , Von´asek, V, Fiˇser, D & Faigl, J 2011, AR-Drone as a Platform for Robotic Research, The Gerstner Laboratory for Intelligent Decision Making and Control Department of Cybernetics, Faculty of Electrical Engineering Czech Technical University, Prague

Brandt, J.B. and Selig, M.S., "Propeller Performance Data at Low Reynolds Numbers," 49th AIAA Aerospace Sciences Meeting, AIAA Paper 2011-1255, Orlando, FL, January 2011.




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