TY - GEN
T1 - Adaptive Vibration Reduction Control Strategy for 3-DOF Parallel Energy-Efficient Stabilization Robotic Systems
AU - Yang, Shaokun
AU - Wang, Junzheng
AU - Shen, Wei
AU - Liu, Dongchen
AU - Lin, Qianye
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The parallel energy-efficient stabilization robotic systems are well-suited for large-load vibration reduction and stabilization operations. However, challenges arise, including uncertainties in environmental parameters, nonlinear disturbances in pneumatic structures, and limitations in dynamic vibration reduction performance during vibration control. We propose a reference trajectory compensation approach based on dynamic pneumatic cylinder stiffness compensation and environmental parameter estimation to tackle the tracking force error problem in vibration reduction control. Additionally, dynamic adjustments are made through an adaptive damping parameter adjuster to enhance the dynamic performance of vibration reduction. The results indicate that the proposed vibration reduction control strategy effectively resolves the tracking force problem and achieves superior outcomes compared to the basic impedance control strategy in vibration reduction control.
AB - The parallel energy-efficient stabilization robotic systems are well-suited for large-load vibration reduction and stabilization operations. However, challenges arise, including uncertainties in environmental parameters, nonlinear disturbances in pneumatic structures, and limitations in dynamic vibration reduction performance during vibration control. We propose a reference trajectory compensation approach based on dynamic pneumatic cylinder stiffness compensation and environmental parameter estimation to tackle the tracking force error problem in vibration reduction control. Additionally, dynamic adjustments are made through an adaptive damping parameter adjuster to enhance the dynamic performance of vibration reduction. The results indicate that the proposed vibration reduction control strategy effectively resolves the tracking force problem and achieves superior outcomes compared to the basic impedance control strategy in vibration reduction control.
UR - http://www.scopus.com/inward/record.url?scp=85197283937&partnerID=8YFLogxK
U2 - 10.1109/ARSO60199.2024.10557809
DO - 10.1109/ARSO60199.2024.10557809
M3 - Conference contribution
AN - SCOPUS:85197283937
T3 - Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
SP - 7
EP - 12
BT - 2024 IEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2024
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2024
Y2 - 20 May 2024 through 22 May 2024
ER -