TY - JOUR
T1 - Novel Adaptive Saturated Attitude Tracking Control of Rigid Spacecraft with Guaranteed Transient and Steady-State Performance
AU - Yin, Zeyang
AU - Luo, Jianjun
AU - Wei, Caisheng
N1 - Publisher Copyright:
© 2018 American Society of Civil Engineers.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - In this paper, a novel adaptive model-free attitude tracking control method is investigated for rigid spacecraft with consideration of the external disturbance, unknown inertia matrix, and input saturation. First, the considered attitude tracking system with input saturation is transformed into a Lagrangian model, and a dead zone-based model is used to describe the saturation nonlinearity. Second, using the prescribed performance control theory, a static prescribed performance attitude control scheme is presented, by which the transient and steady-state performance (including the convergence rate, overshoot, and boundedness) of the attitude tracking system is proved to be guaranteed. Third, in order to improve the performance of the static prescribed performance control scheme, a novel learning-based supplementary control scheme is presented based on the approximate dynamic programming. Finally, two groups of numerical simulations are used to illustrate the effectiveness of the proposed learning-based prescribed performance attitude control method.
AB - In this paper, a novel adaptive model-free attitude tracking control method is investigated for rigid spacecraft with consideration of the external disturbance, unknown inertia matrix, and input saturation. First, the considered attitude tracking system with input saturation is transformed into a Lagrangian model, and a dead zone-based model is used to describe the saturation nonlinearity. Second, using the prescribed performance control theory, a static prescribed performance attitude control scheme is presented, by which the transient and steady-state performance (including the convergence rate, overshoot, and boundedness) of the attitude tracking system is proved to be guaranteed. Third, in order to improve the performance of the static prescribed performance control scheme, a novel learning-based supplementary control scheme is presented based on the approximate dynamic programming. Finally, two groups of numerical simulations are used to illustrate the effectiveness of the proposed learning-based prescribed performance attitude control method.
KW - Approximate dynamic programming
KW - Input saturation
KW - Neural networks
KW - Prescribed performance
KW - Spacecraft
UR - http://www.scopus.com/inward/record.url?scp=85048526071&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)AS.1943-5525.0000884
DO - 10.1061/(ASCE)AS.1943-5525.0000884
M3 - 文章
AN - SCOPUS:85048526071
SN - 0893-1321
VL - 31
JO - Journal of Aerospace Engineering
JF - Journal of Aerospace Engineering
IS - 5
M1 - 04018062
ER -