TY - GEN
T1 - External mechanical parameters identification of the elastic two-mass system with backlash
AU - Wang, Can
AU - Yang, Ming
AU - Zheng, Weilong
AU - Ni, Qinan
AU - Kennel, Ralph
AU - Xu, DIanguo
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - AC servo system will encounter outside disturbances and changes of system parameters when it operates. In order to obtain real-time information of the system and complete self-tuning of the controller parameters, online identification method of mechanical parameters is analyzed in the two-mass system with backlash. Firstly, the identification model and implementation process under no-load and loading conditions are studied. On the basis of that, recursive least squares forgetting factor (FFRLS) method is used to identify multiple parameters simultaneously. The effect of load torque and inertia ratio upon the identification precision is analyzed. For the case of no-load and low inertia-ratio, a shaft torque compensator is combined for backlash compensation, further improving the identification precision. Simulation results show that the linear identification method can be effective in the elastic-backlash nonlinear system under any loading or inertia ratio conditions.
AB - AC servo system will encounter outside disturbances and changes of system parameters when it operates. In order to obtain real-time information of the system and complete self-tuning of the controller parameters, online identification method of mechanical parameters is analyzed in the two-mass system with backlash. Firstly, the identification model and implementation process under no-load and loading conditions are studied. On the basis of that, recursive least squares forgetting factor (FFRLS) method is used to identify multiple parameters simultaneously. The effect of load torque and inertia ratio upon the identification precision is analyzed. For the case of no-load and low inertia-ratio, a shaft torque compensator is combined for backlash compensation, further improving the identification precision. Simulation results show that the linear identification method can be effective in the elastic-backlash nonlinear system under any loading or inertia ratio conditions.
KW - FFRLS
KW - backlash
KW - parameter identification
KW - shaft torque compensator
KW - two-mass system
UR - http://www.scopus.com/inward/record.url?scp=85045249990&partnerID=8YFLogxK
U2 - 10.1109/PEDS.2017.8289174
DO - 10.1109/PEDS.2017.8289174
M3 - Conference contribution
AN - SCOPUS:85045249990
T3 - Proceedings of the International Conference on Power Electronics and Drive Systems
SP - 593
EP - 598
BT - 2017 IEEE 12th International Conference on Power Electronics and Drive Systems, PEDS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2017
Y2 - 12 December 2017 through 15 December 2017
ER -