TY - JOUR
T1 - Angular acceleration estimation-based incremental nonlinear dynamic inversion for robust flight control
AU - Li, Yu
AU - Liu, Xiaoxiong
AU - Lu, Peng
AU - He, Qizhi
AU - Ming, Ruichen
AU - Zhang, Weiguo
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/12
Y1 - 2021/12
N2 - The robustness of the incremental nonlinear dynamic inversion (INDI) technique depends on the accuracy of the feedback angular accelerations. However, angular accelerations are usually not readily available. They are obtained from differentiation and are sensitive to time delays and noise. These undesired effects decrease the robustness of the system to disturbances and model uncertainties. A novel INDI-based flight control strategy, named angular acceleration estimation-based INDI (EINDI), is proposed in this paper to solve the problem of acquiring accurate angular accelerations. The EINDI method combines the control surface deflections and an adaptive technique to estimate angular accelerations, which can reduce the effects of noise and time delays on angular accelerations, thereby ensuring the robustness of the system. Furthermore, stability analysis based on the Lyapunov theory demonstrated that the EINDI was robust to model uncertainties. Simulation results showed that EINDI was effective in reducing the influence of noise and time delays and overcoming the influence of the center of gravity (CG) changes and a series of model uncertainties.
AB - The robustness of the incremental nonlinear dynamic inversion (INDI) technique depends on the accuracy of the feedback angular accelerations. However, angular accelerations are usually not readily available. They are obtained from differentiation and are sensitive to time delays and noise. These undesired effects decrease the robustness of the system to disturbances and model uncertainties. A novel INDI-based flight control strategy, named angular acceleration estimation-based INDI (EINDI), is proposed in this paper to solve the problem of acquiring accurate angular accelerations. The EINDI method combines the control surface deflections and an adaptive technique to estimate angular accelerations, which can reduce the effects of noise and time delays on angular accelerations, thereby ensuring the robustness of the system. Furthermore, stability analysis based on the Lyapunov theory demonstrated that the EINDI was robust to model uncertainties. Simulation results showed that EINDI was effective in reducing the influence of noise and time delays and overcoming the influence of the center of gravity (CG) changes and a series of model uncertainties.
KW - Adaptive law
KW - Angular acceleration estimation
KW - Center of gravity changes
KW - Estimation-based incremental nonlinear dynamic inversion
KW - Robustness
UR - http://www.scopus.com/inward/record.url?scp=85116012495&partnerID=8YFLogxK
U2 - 10.1016/j.conengprac.2021.104938
DO - 10.1016/j.conengprac.2021.104938
M3 - 文章
AN - SCOPUS:85116012495
SN - 0967-0661
VL - 117
JO - Control Engineering Practice
JF - Control Engineering Practice
M1 - 104938
ER -