TY - JOUR
T1 - A Practical Adaptive Sinusoidal Vibration Control Strategy for Electro-Hydraulic Shake Table
AU - Yang, Heng
AU - Cong, Dacheng
AU - Yang, Zhidong
AU - Zhang, Lianpeng
AU - Han, Junwei
N1 - Publisher Copyright:
© 2022, Krishtel eMaging Solutions Private Limited.
PY - 2023/6
Y1 - 2023/6
N2 - Background: The electro-hydraulic shake table (EHST) is an essential equipment for vibration tests. When performing sinusoidal vibration excitation, the acceleration response suffers from amplitude attenuation, phase delay, and harmonic distortion, which reduces the accuracy of the vibration test. Purpose: The filtered-x least mean square (FxLMS) algorithm has been generally implemented for narrowband vibration control. However, for the application of vibration realization with an electro-hydraulic shake table, potential instability caused by model identification errors and variations in system characteristics needs to be handled. Method: A practical adaptive sinusoidal vibration control strategy for the EHST combining FxLMS algorithm and online model error compensation technique is proposed in this paper. The control strategy uses auxiliary filters and the simultaneous equation method to achieve online model error compensation. To reduce the computational burden, the local model is adopted for the implementation of the proposed controller. Results: The feasibility of the proposed control strategy is verified with numerical simulation. The influence of parameters on vibration control precision and dynamic characteristics is investigated in detail. Sinusoidal vibration realization experiments are conducted using an EHST, and the experimental results verified the accuracy of the proposed control strategy. Conclusion: The proposed modified narrowband FxLMS with online model error compensation improves the stability and convergence when considering the system identificaiton error. The proposed practical sinusoidal vibration control strategy improves the vibraion realization performance of the EHST.
AB - Background: The electro-hydraulic shake table (EHST) is an essential equipment for vibration tests. When performing sinusoidal vibration excitation, the acceleration response suffers from amplitude attenuation, phase delay, and harmonic distortion, which reduces the accuracy of the vibration test. Purpose: The filtered-x least mean square (FxLMS) algorithm has been generally implemented for narrowband vibration control. However, for the application of vibration realization with an electro-hydraulic shake table, potential instability caused by model identification errors and variations in system characteristics needs to be handled. Method: A practical adaptive sinusoidal vibration control strategy for the EHST combining FxLMS algorithm and online model error compensation technique is proposed in this paper. The control strategy uses auxiliary filters and the simultaneous equation method to achieve online model error compensation. To reduce the computational burden, the local model is adopted for the implementation of the proposed controller. Results: The feasibility of the proposed control strategy is verified with numerical simulation. The influence of parameters on vibration control precision and dynamic characteristics is investigated in detail. Sinusoidal vibration realization experiments are conducted using an EHST, and the experimental results verified the accuracy of the proposed control strategy. Conclusion: The proposed modified narrowband FxLMS with online model error compensation improves the stability and convergence when considering the system identificaiton error. The proposed practical sinusoidal vibration control strategy improves the vibraion realization performance of the EHST.
KW - Adaptive sinusoidal vibration control
KW - Electro-hydraulic shake table
KW - NFxLMS
KW - Online model error compensation
UR - http://www.scopus.com/inward/record.url?scp=85137420603&partnerID=8YFLogxK
U2 - 10.1007/s42417-022-00667-w
DO - 10.1007/s42417-022-00667-w
M3 - 文章
AN - SCOPUS:85137420603
SN - 2523-3920
VL - 11
SP - 1725
EP - 1739
JO - Journal of Vibration Engineering and Technologies
JF - Journal of Vibration Engineering and Technologies
IS - 4
ER -