TY - GEN
T1 - Dynamics modeling and equilibrium behavior simulation for an unmanned mode gyroplane in forward flight
AU - Wu, Qi
AU - Cai, Zhihao
AU - Wang, Yingxun
AU - Lin, Qing
AU - Yang, Jinpeng
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/12
Y1 - 2015/1/12
N2 - Gyroplane is becoming popular these days for its characters of security, reliable and simple operation. Modeling is the first step that put mathematical theory into engineering studies such as aircraft stability, control and handling qualities. Considering the variable rotoring speed, propeller, tail aero forces and moment, this paper explores the mathematical model of an unmanned mode gyroplane based on integrating rotational equations of motion. Then we investigate in this work the simulation model at steady-state condition for some given independent variables. Variation of angle of attack, pitch angle and rotoring speed with the shaft angle, collective pitch angle and throttle for a given steady forward velocity are presented and discussed in detail. For the specific layout, propeller thrust vector above the center of gravity, large control quantities are likely lead to PIO, which is verified by trim results and control response simulation.
AB - Gyroplane is becoming popular these days for its characters of security, reliable and simple operation. Modeling is the first step that put mathematical theory into engineering studies such as aircraft stability, control and handling qualities. Considering the variable rotoring speed, propeller, tail aero forces and moment, this paper explores the mathematical model of an unmanned mode gyroplane based on integrating rotational equations of motion. Then we investigate in this work the simulation model at steady-state condition for some given independent variables. Variation of angle of attack, pitch angle and rotoring speed with the shaft angle, collective pitch angle and throttle for a given steady forward velocity are presented and discussed in detail. For the specific layout, propeller thrust vector above the center of gravity, large control quantities are likely lead to PIO, which is verified by trim results and control response simulation.
UR - https://www.scopus.com/pages/publications/84922537996
U2 - 10.1109/CGNCC.2014.7007472
DO - 10.1109/CGNCC.2014.7007472
M3 - 会议稿件
AN - SCOPUS:84922537996
T3 - 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
SP - 1906
EP - 1911
BT - 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
Y2 - 8 August 2014 through 10 August 2014
ER -