TY - GEN
T1 - Grey Prediction PID Control for Single Moving-mass Controlled Reentry Vehicle
AU - Li, Guanlin
AU - Chao, Tao
AU - Wang, Songyan
AU - Yang, Ming
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - For a single moving-mass controlled reentry vehicle, the aim of control is tracking and stabilization in roll and yaw channel, respectively. Firstly, the model of reentry vehicle is established with Coriolis Theory, and nonlinear model for design is derived. Then, grey prediction based on GM(1,1) is presented to predict the error between the rolling angle and command. And grey prediction PID controller is designed with function based on grey prediction. At last, simulation and comparison are carried out; the results show the system has better response, better adaptability and stronger robustness than traditional PID controller.
AB - For a single moving-mass controlled reentry vehicle, the aim of control is tracking and stabilization in roll and yaw channel, respectively. Firstly, the model of reentry vehicle is established with Coriolis Theory, and nonlinear model for design is derived. Then, grey prediction based on GM(1,1) is presented to predict the error between the rolling angle and command. And grey prediction PID controller is designed with function based on grey prediction. At last, simulation and comparison are carried out; the results show the system has better response, better adaptability and stronger robustness than traditional PID controller.
UR - https://www.scopus.com/pages/publications/85082462644
U2 - 10.1109/GNCC42960.2018.9019175
DO - 10.1109/GNCC42960.2018.9019175
M3 - 会议稿件
AN - SCOPUS:85082462644
T3 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
BT - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
Y2 - 10 August 2018 through 12 August 2018
ER -