Time-varying transfer function extraction of an unstable launch vehicle via closed-loop identification |
| |
| Institution: | 1. Department of Mechanical Engineering, K.N. Toosi University of Technology, P.O. Box 16765-3381, Tehran, Iran;2. Department of Aerospace Engineering, K.N. Toosi University of Technology, P.O. Box 16765-3381, Tehran, Iran;1. Facultad de Ingeniería Eléctrica, Universidad Michoacana de San Nicolás de Hidalgo, Ciudad Universitaria, 58030 Morelia, Mexico;2. Department of Electrical Energy Engineering, Tampere University of Technology, Tekniikankatu 8 B, FI-33720 Tampere, Finland;1. Gipsa-Lab UMR CNRS 5216, Control Systems Department, 11 rue des Mathématiques, BP46, 38402 Saint Martin d''Hères, France;2. Computer and Automation Research Institute, Hungarian Academy of Sciences, Kende u. 13-17, H-1111 Budapest, Hungary;1. Facultad de Ingeniería Eléctrica, Universidad Michoacana de San Nicolás de Hidalgo, Ciudad Universitaria, 58030 Morelia, Mexico;2. Department of Electrical Energy Engineering, Tampere University of Technology, Tekniikankatu 8 B, FI-33720 Tampere, Finland;1. School of Science, RMIT University, Melbourne, Australia;2. School of Engineering and Computer Science, Victoria University of Wellington, New Zealand;1. LG Chem, R&D Campus Gwacheon, 36, Janggunmaeul 3-gil, Gwacheon-si, Gyeonggi-do 13813, Republic of Korea;2. The Graduate School, Department of Mechanical Engineering, Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul 120-749, Republic of Korea;3. Department of Mechanical Engineering, Chosun University, 303 Pilmun-daero, Dong-Gu, Gwangju 61452, Republic of Korea |
| |
| Abstract: | The aerospace launch vehicle, developed today by manufacturers, is characterized by high nonlinearity, open loop instability and time-varying behaviors. The transfer functions of the vehicle can be extracted using well-known linearization methodology. This paper presents an alternative to obtain the transfer functions via closed-loop identification using six degrees of freedom nonlinear simulation software. The pitch program is taken into account as the external excitation. Control and stability of the process are performed using robust PID controller. The model structure with some unknown parameters is obtained after mathematical modeling, thus the case of our problem is a parameter identification one. Time-variant parameters are estimated by Kalman filter approach with the aid of ARX model structure. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
