TY - GEN
T1 - Online suppression of mechanical resonance using extremum seeking control
AU - Sun, Zhengyi
AU - Chen, Songlin
AU - He, Zongru
AU - Huo, Xin
N1 - Publisher Copyright:
© 2018 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2018/10/5
Y1 - 2018/10/5
N2 - Aiming to online suppress the mechanical resonance existed generally in electromechanical servo system, this paper proposed an effective method based on extremum seeking control (ESC). Firstly, the theoretical analysis of 2-mass model with elastic load is carried out to obtain the mathematical expression and physical phenomenon of mechanical resonance. Then, a single variable ESC-based scheme is employed to identify the resonance frequency by introducing a band-pass filter with variable center frequency. Furthermore, based on the identified resonance frequency, the multivariable ESC is applied to design a parameter self-adjusting notch filter to suppress the resonance quickly online. In addition, an adaptive adjusting law of disturbance signal amplitude of ESC is designed to accelerate the convergence as well as eliminate the unexpected steady state oscillation existing in those parameters to be optimized. Finally, the effectiveness and superiority of this method are verified sufficiently by simulations.
AB - Aiming to online suppress the mechanical resonance existed generally in electromechanical servo system, this paper proposed an effective method based on extremum seeking control (ESC). Firstly, the theoretical analysis of 2-mass model with elastic load is carried out to obtain the mathematical expression and physical phenomenon of mechanical resonance. Then, a single variable ESC-based scheme is employed to identify the resonance frequency by introducing a band-pass filter with variable center frequency. Furthermore, based on the identified resonance frequency, the multivariable ESC is applied to design a parameter self-adjusting notch filter to suppress the resonance quickly online. In addition, an adaptive adjusting law of disturbance signal amplitude of ESC is designed to accelerate the convergence as well as eliminate the unexpected steady state oscillation existing in those parameters to be optimized. Finally, the effectiveness and superiority of this method are verified sufficiently by simulations.
KW - Extremum seeking control
KW - Mechanical resonance
KW - Notch filter
KW - Resonance identification
KW - Resonance suppression
UR - https://www.scopus.com/pages/publications/85056083474
U2 - 10.23919/ChiCC.2018.8482576
DO - 10.23919/ChiCC.2018.8482576
M3 - 会议稿件
AN - SCOPUS:85056083474
T3 - Chinese Control Conference, CCC
SP - 3847
EP - 3852
BT - Proceedings of the 37th Chinese Control Conference, CCC 2018
A2 - Chen, Xin
A2 - Zhao, Qianchuan
PB - IEEE Computer Society
T2 - 37th Chinese Control Conference, CCC 2018
Y2 - 25 July 2018 through 27 July 2018
ER -