A Practical Performance Evaluation Method for Electric Multicopters

Multicopters are attracting more and more attention these years. In the design stage, designers and users wonder if an assembled multicopter can meet their performance requirements, such as hovering endurance, system efficiency, maximum load, maximum pitch, and maximum flight distance. However, in practice, they used to evaluate the performance of a multicopter through lots of flight experiments or by experience, which are normally inefficient and costly. This motivates us to propose a comprehensive offline evaluation algorithm of multicopter performance. The performance indices considered are mainly determined by the propulsion system, including motors, propellers, electronic speed controllers, and batteries. Therefore, in the first stage of this research, models are established for the components of a propulsion system. In order to facilitate the application, only technical specifications of components offered by manufacturers are required as the input of the models. Based on the models and their relationships, equations describing performance indices are established and then solved to perform the evaluation. Finally, several examples are given to demonstrate the efficiency of the proposed evaluation method. As a result, a website ( www.flyeval.com) is established, which can provide users with the performance evaluation mentioned in this paper.

[1]  Hyo-Sung Ahn,et al.  Nonlinear Control of Quadrotor for Point Tracking: Actual Implementation and Experimental Tests , 2015, IEEE/ASME Transactions on Mechatronics.

[2]  Frank van Graas,et al.  Design of an Electric Propulsion System for a Quadrotor Unmanned Aerial Vehicle , 2009 .

[3]  Robert E. Mahony,et al.  Aerodynamic power control for multirotor aerial vehicles , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[4]  Monal P. Merchant,et al.  Propeller Performance Measurement for Low Reynolds Number UAV Applications , 2006 .

[5]  Maurizio Porfiri,et al.  Large-Scale Particle Image Velocimetry From an Unmanned Aerial Vehicle , 2015, IEEE/ASME Transactions on Mechatronics.

[6]  P.J. Alsina,et al.  Dynamic Modelling of a Quadrotor Aerial Vehicle with Nonlinear Inputs , 2008, 2008 IEEE Latin American Robotic Symposium.

[7]  Paul E. I. Pounds,et al.  The Triangular Quadrotor: A More Efficient Quadrotor Configuration , 2015, IEEE Transactions on Robotics.

[8]  Dimitri N. Mavris,et al.  Validation of Vortex Propeller Theory for UAV Design with Uncertainty Analysis , 2008 .

[9]  Kamran Mohseni,et al.  Efficiency Analysis for Long -Duration Electric MAVs , 2005 .

[10]  Pragasen Pillay,et al.  Modeling, simulation, and analysis of permanent-magnet motor drives. II. The brushless DC motor drive , 1989 .

[11]  Egbert Torenbeek,et al.  Flight Physics: Essentials of Aeronautical Disciplines and Technology, with Historical Notes , 2009 .

[12]  Huijun Gao,et al.  Finite Frequency H∞ Control for Vehicle Active Suspension Systems , 2011 .

[13]  Robert Mahony,et al.  Nonlinear Dynamic Modeling for High Performance Control of a Quadrotor , 2012, ICRA 2012.

[14]  Steven R. Shaw,et al.  Simulation, Design, and Validation of an UAV SOFC Propulsion System , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[15]  Stephen J. Chapman,et al.  Electric Machinery Fundamentals , 1991 .

[16]  Peter I. Corke,et al.  Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor , 2012, IEEE Robotics & Automation Magazine.

[17]  Geir Hovland,et al.  Multicopter UAV design optimization , 2014, 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA).

[18]  Evangelos Papadopoulos,et al.  Parametric design and optimization of multi-rotor aerial vehicles , 2014, ICRA 2014.

[19]  Huijun Gao,et al.  Finite Frequency $H_{\infty }$ Control for Vehicle Active Suspension Systems , 2011, IEEE Transactions on Control Systems Technology.

[20]  Michael S. Selig,et al.  Propeller Performance Data at Low Reynolds Numbers , 2011 .

[21]  M. A. Minor,et al.  An Avian-Inspired Passive Mechanism for Quadrotor Perching , 2013, IEEE/ASME Transactions on Mechatronics.

[22]  Stjepan Bogdan,et al.  Influence of Forward and Descent Flight on Quadrotor Dynamics , 2012 .

[23]  Liang Yan,et al.  High-Accuracy Tracking Control of Hydraulic Rotary Actuators With Modeling Uncertainties , 2014, IEEE/ASME Transactions on Mechatronics.

[24]  Mo Li Modeling and experimental analysis of UAV electric propulsion system , 2009 .