TY - GEN
T1 - Transition Strategy Optimization of Tilt-Rotor VTOL UAV in Conversion Process
AU - Sun, Hao
AU - Zhou, Zhou
AU - Wang, Zhengping
AU - Dong, Qiyuan
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - In this study, the flight quality of the transition process for a classic type of tilt-rotor vertical take-off and landing unmanned aerial vehicle (VTOL UAV) was improved by optimizing the transition process of this type of UAV. The optimization process is as follows: (i) the nonlinear dynamic models of aircraft were established. (ii) the tilting path of the tilt-rotor aircraft was designed by the optimal method. In order to minimize the attitude change, control energy consumption, and transition time of the aircraft during the transition process, a novel optimization cost function was built as objective for transition time, pitch angle change, and the control surface deflection minimization. The tilting strategy of the transition process was proposed based on the Gaussian pseudo spectral method. (iii) A weighted pseudo-inverse method based on niche genetic algorithm was used to design the manipulation strategy with the goal of the highest control efficiency and the smoothest transition, solving the problem of control redundancy caused by mode conversion and the lack of yaw control capability during the early stage of conversion. The simulation results show that compared to the traditional transition strategy, the novel tilting trajectory designed in this study brings better transition qualities, and the new control allocation law increases the aircraft yaw control capability, which in turn enhances the stability and anti-interference ability of the UAV in the transition mode.
AB - In this study, the flight quality of the transition process for a classic type of tilt-rotor vertical take-off and landing unmanned aerial vehicle (VTOL UAV) was improved by optimizing the transition process of this type of UAV. The optimization process is as follows: (i) the nonlinear dynamic models of aircraft were established. (ii) the tilting path of the tilt-rotor aircraft was designed by the optimal method. In order to minimize the attitude change, control energy consumption, and transition time of the aircraft during the transition process, a novel optimization cost function was built as objective for transition time, pitch angle change, and the control surface deflection minimization. The tilting strategy of the transition process was proposed based on the Gaussian pseudo spectral method. (iii) A weighted pseudo-inverse method based on niche genetic algorithm was used to design the manipulation strategy with the goal of the highest control efficiency and the smoothest transition, solving the problem of control redundancy caused by mode conversion and the lack of yaw control capability during the early stage of conversion. The simulation results show that compared to the traditional transition strategy, the novel tilting trajectory designed in this study brings better transition qualities, and the new control allocation law increases the aircraft yaw control capability, which in turn enhances the stability and anti-interference ability of the UAV in the transition mode.
KW - Gaussian pseudo spectral method
KW - Manipulation strategy
KW - Niche genetic algorithm
KW - Tilting path
KW - VTOL UAV
UR - http://www.scopus.com/inward/record.url?scp=85140439977&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-2635-8_78
DO - 10.1007/978-981-19-2635-8_78
M3 - 会议稿件
AN - SCOPUS:85140439977
SN - 9789811926341
T3 - Lecture Notes in Electrical Engineering
SP - 1057
EP - 1077
BT - The Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology APISAT 2021, Volume 2
A2 - Lee, Sangchul
A2 - Han, Cheolheui
A2 - Choi, Jeong-Yeol
A2 - Kim, Seungkeun
A2 - Kim, Jeong Ho
PB - Springer Science and Business Media Deutschland GmbH
T2 - Asia-Pacific International Symposium on Aerospace Technology, APISAT 2021
Y2 - 15 November 2021 through 17 November 2021
ER -