Trajectory-tracking control for small unmanned helicopter based on SDRE

被引:0
|
作者
Qu Y. [1 ]
Wu Q. [1 ]
机构
[1] School of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing
来源
Wu, Qingxian (wuqingxian@nuaa.edu.cn) | 1600年 / Southeast University卷 / 47期
关键词
Flapping dynamic; State-dependent Riccati equation(SDRE); Tracking control; Unmanned helicopter;
D O I
10.3969/j.issn.1001-0505.2017.S1.038
中图分类号
学科分类号
摘要
Aiming at solving the problem of attitude stability and position tracking control of unmanned small scale helicopter, a state-dependent Riccati equation (SDRE) based trajectory tracking control method was proposed. Firstly, a 14 order dynamics model of the unmanned helicopter, including the main rotor flapping dynamic was established based on the Newton Euler equation and the rigid body theory. Secondly, the dynamics model was divided into a nested sequence of position, velocity, Euler angle, angular rate, and rotor dynamic loops, and equivalent transformations of the dynamics equation were made for each loop, rendering the system to satisfy specify conditions. On this basis, for a non-affine system, u, the differentiation of the control input u was introduced to be the new control input of the system, and u was regarded as the state variable. Finally, the proposed method was used for the Trex-250 helicopter. Simulation results show that the proposed method has better robustness and real-time performance on attitude and position control. © 2017, Editorial Department of Journal of Southeast University. All right reserved.
引用
收藏
页码:205 / 210
页数:5
相关论文
共 12 条
  • [1] Yu M., Xu J., Liu J., Control design and simulation for small unmanned helicopter, Control Theory & Applications, 29, 6, pp. 792-796, (2012)
  • [2] Liu Y., Wang X., Yu X., Design and simulation of hovering control law for a helicopter based on LQR, Computer Measurement & Control, 16, 5, pp. 670-672, (2008)
  • [3] Fang X., Wu A., Dong N., Robust trajectory tracking control for unmanned helicopter with mismatched disturbances, Control Theory & Applications, 32, 10, pp. 1325-1334, (2015)
  • [4] Raptis I.A., Valavanis K.P., Moreno W.A., A novel nonlinear backstepping controller design for helicopters using the rotation matrix, IEEE Transactions on Control Systems Technology, 19, 2, pp. 465-473, (2011)
  • [5] Cimen T., Survey of state-dependent Riccati equation in nonlinear optimal feedback control synthesis, Journal of Guidance, Control, and Dynamics, 35, 4, pp. 1025-1047, (2012)
  • [6] Bogdanov A., Carlsson M., Harvey G., Et al., State-dependent Riccati equation control of a small unmanned helicopter, Proceedings of the AIAA Guidance Navigation and Control Conference, (2003)
  • [7] Bogdanov A., Wan E., Harvey G., SDRE flight control for X-Cell and R-Max autonomous helicopters, 43rd IEEE Conference on Decision and Control (CDC), pp. 1196-1203, (2004)
  • [8] Lee J., Lee Y., Kim Y., Et al., Design of an adaptive missile autopilot considering the boost phase using the SDRE method and neural networks, Journal of the Franklin Institute, (2016)
  • [9] Fu J., Chen W., Wu Q., Sliding mode control for a miniature helicopter, International Conference on Automation and Computing, pp. 98-103, (2011)
  • [10] Sun X.Y., Fang Y.C., Sun N., Backstepping-based adaptive attitude and height control of a small-scale unmanned helicopter, Control Theory & Applications, 29, 3, pp. 381-388, (2012)