期刊文献+

Aerodynamic-Parameter Identification and Attitude Control of Quad-Rotor Model with CIFER and Adaptive LADRC 被引量:2

下载PDF
导出
摘要 Current research on quadrotor modeling mainly focuses on theoretical analysis methods and experimental methods,which have problems such as weak adaptability to the environment,high test costs,and long durations.Additionally,the PID controller,which is currently widely used in quadrotors,requires improvement in anti-interference.Therefore,the aforementioned research has considerable practical significance for the modeling and controller design of quadrotors with strong coupling and nonlinear characteristics.In the present research,an aerodynamic-parameter estimation method and an adaptive attitude control method based on the linear active disturbance rejection controller(LADRC)are designed separately.First,the motion model,dynamics model,and control allocation model of the quad-rotor are established according to the aerodynamic theory and Newton-Euler equations.Next,a more accurate attitude model of the quad-rotor is obtained by using a tool called CIFER to identify the aerodynamic parameters with large uncertainties in the frequency domain.Then,an adaptive attitude decoupling controller based on the LADRC is designed to solve the problem of the poor anti-interference ability of the quad-rotor and adjust the key control parameter b0 automatically according to the change in the moment of inertia in real time.Finally,the proposed approach is verified on a semi-physical simulation platform,and it increases the tracking speed and accuracy of the controller,as well as the anti-disturbance performance and robustness of the control system.This paper proposes an effective aerodynamic-parameter identification method using CIFER and an adaptive attitude decoupling controller with a sufficient anti-interference ability.
出处 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2021年第2期150-159,共10页 中国机械工程学报(英文版)
基金 Supported by National Natural Science Foundation of China(Grant No.61501493).
  • 相关文献

参考文献4

二级参考文献27

  • 1韩京清,王伟.非线性跟踪─微分器[J].系统科学与数学,1994,14(2):177-183. 被引量:410
  • 2韩京清.一类不确定对象的扩张状态观测器[J].控制与决策,1995,10(1):85-88. 被引量:421
  • 3韩京清.非线性状态误差反馈控制律──NLSEF[J].控制与决策,1995,10(3):221-225. 被引量:179
  • 4税海涛,王建文,李迅,马宏绪.微小型无人驾驶直升机建模与仿真分析[J].电光与控制,2006,13(3):49-53. 被引量:1
  • 5METTLER B. Modeling small-scale unmanned rotorcraft for advanced flight control design [ D ]. Pittsburgh : Carnegie Mellon University,2001.
  • 6GREWAL M S, Kalman filtering: theory and practice using Matlab [M]. 2nd ed. John Wiley & Sons,2001.
  • 7BACH R E Jr. State estimation applications in aircraft flight-data analysis: a User's manual for SMACK [ Z ]. NASA RP 1252,1991.
  • 8WANG T T. Segmented chirp Z-transform and its application in spectrum analysis [ J ]. IEEE Transactions on Instrumentation and Measurement, 1990 : 39 (2) : 318-323.
  • 9茅于海,楼希澄,信号处理离散频谱分析、检测和估计[M].北京:科学出版社,1982.
  • 10SaRKKa S. Recursive Bayesian inference on stochastic differential equations [ D ]. Helsinki University of Technology, 2006.

共引文献1031

同被引文献9

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部