Unmanned coaxial rotor helicopter dynamics and system parameter estimation

A numerical model that estimates the parameters of a small, unmanned coaxial rotor helicopter with a takeoff mass of 11.9 kg was developed. The modeled coaxial rotor helicopter did not have any additional damping to its dynamics such as a stabilizer bar or external gyro, which are common in commercial hobby helicopter models. Therefore, any sinusoidal actuator input from manual flight led to a large deviation of attitude rates, resulting in uncontrollable situations. A feedback attitude controller was included during test flights and parameter estimation to address this problem. Time domain experimental data were used to help estimate and validate the parameters of the helicopter. Attitude responses predicted by the model show extremely small discrepancies with experimental data. Therefore, the developed numerical model can be used for coaxial rotor helicopter controller design and other simulation purposes.

[1]  Roland Siegwart,et al.  Modeling, system identification and robust control of a coaxial micro helicopter , 2010 .

[2]  Karl Johan Åström,et al.  PID Controllers: Theory, Design, and Tuning , 1995 .

[3]  Takeo Kanade,et al.  System identification of small-size unmanned helicopter dynamics , 1999 .

[4]  Bernard Mettler,et al.  Identification Modeling and Characteristics of Miniature Rotorcraft , 2002 .

[5]  R. D. Harrington,et al.  Full-scale-tunnel Investigation of the Static-thrust Performance of a Coaxial Helicopter Rotor , 1951 .

[6]  Dario Martin Schafroth,et al.  Aerodynamics, modeling and control of an autonomous micro helicopter , 2010 .

[7]  Colin P. Coleman.  A Survey of Theoretical and Experimental Coaxial Rotor Aerodynamic Research , 1997 .

[8]  Jonathon Bell,et al.  Empirical Measurements of Small Unmanned Aerial Vehicle Co-Axial Rotor Systems , 2011 .

[9]  Vladislav Gavrilets,et al.  Autonomous aerobatic maneuvering of miniature helicopters , 2003 .

[10]  James D. Baeder,et al.  Computational Investigation of Small Scale Coaxial Rotor Aerodynamics in Hover , 2009 .

[11]  Slawomir Koziel,et al.  Computational Optimization, Methods and Algorithms , 2016, Computational Optimization, Methods and Algorithms.

[12]  Yuichi Honjo,et al.  Implementation of the Kobe City Recovery Plan , 2011 .

[13]  J. Gordon Leishman,et al.  Principles of Helicopter Aerodynamics , 2000 .

[14]  Raymond W. Prouty,et al.  Helicopter performance, stability, and control , 1986 .

[15]  Kenneth W. Iliff,et al.  Aircraft parameter estimation , 1987 .

[16]  Rolf Johansson,et al.  System modeling and identification , 1993 .

[17]  Rini Akmeliawati,et al.  Parameter identification of an autonomous quadrotor , 2011, 2011 4th International Conference on Mechatronics (ICOM).

[18]  Bernard Mettler,et al.  System identification modeling of a small-scale unmanned rotorcraft for flight control design , 2002 .

[19]  Jim Ledin,et al.  Embedded Control Systems in C/C++ , 2003 .

[20]  Kimon P. Valavanis,et al.  Linear and Nonlinear Control of Small-Scale Unmanned Helicopters , 2010 .

[21]  G. D. Padfield,et al.  Helicopter Flight Dynamics: The Theory and Application of Flying Qualities and Simulation Modelling , 1995 .