TY - GEN
T1 - A Novel Integrated Identification Method of Model Structure and Parameters for Drive System
AU - Wang, Can
AU - Yang, Ming
AU - Xu, Dianguo
AU - Wu, Hong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/10
Y1 - 2018/8/10
N2 - In order to improve performance of a drive system, it is a requisite to identify accurate model structure and parameters. Traditional system structure identification uses input and output data to determine the system structure, with the knowledge of which, the parameters can be identified with the parameter- fitting methods. Aiming at the drive system, a novel integrated identification to the synthesis of model structure and parameters is proposed in this paper. Since motor inertia is often considered as a prior in engineering practice, the identified value and the true physical value are compared to build the evaluation function, so as to deduce the system structure inversely. Based on the known model structure, the parameters can be identified by the corresponding RLS-based method. Simulation results demonstrate the effectiveness of the proposed technique for both one-mass system and two-mass system.
AB - In order to improve performance of a drive system, it is a requisite to identify accurate model structure and parameters. Traditional system structure identification uses input and output data to determine the system structure, with the knowledge of which, the parameters can be identified with the parameter- fitting methods. Aiming at the drive system, a novel integrated identification to the synthesis of model structure and parameters is proposed in this paper. Since motor inertia is often considered as a prior in engineering practice, the identified value and the true physical value are compared to build the evaluation function, so as to deduce the system structure inversely. Based on the known model structure, the parameters can be identified by the corresponding RLS-based method. Simulation results demonstrate the effectiveness of the proposed technique for both one-mass system and two-mass system.
KW - RLS
KW - one-mass system
KW - parameter identification
KW - structure identification
KW - two-mass system
UR - https://www.scopus.com/pages/publications/85052405859
U2 - 10.1109/ISIE.2018.8433813
DO - 10.1109/ISIE.2018.8433813
M3 - 会议稿件
AN - SCOPUS:85052405859
SN - 9781538637050
T3 - IEEE International Symposium on Industrial Electronics
SP - 101
EP - 107
BT - Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th IEEE International Symposium on Industrial Electronics, ISIE 2018
Y2 - 13 June 2018 through 15 June 2018
ER -