TY - GEN
T1 - Adaptive control for piezo-Actuated micro/nano positioning system
AU - Chen, Xinkai
AU - Wen, Shengjun
AU - Wang, Aihui
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/5
Y1 - 2018/2/5
N2 - The micro/nano positioning system discussed in this paper includes a piezo electric actuator (PEA) and flexure-hinge-based positioning mechanism. Due to the existence of the hysteretic nonlinearity in the PEA and the friction in the system, the accurate positioning of the piezo-Actuated positioning system calls applicable control schemes for practical applications. To this end, an implementable adaptive controller is developed in the paper, where a parameterized hysteresis model is employed to reduce the computational load. The formulated adaptive control law guarantees the global stability of the controlled positioning system, and the position error can be driven to approach to zero asymptotically. The advantage is that the real values of the parameters of the positioning system neither need to be identified nor measured; only the parameters in the formulation of the controller are estimated online, making online implementation feasible. Experimental results show the effectiveness of the proposed method.
AB - The micro/nano positioning system discussed in this paper includes a piezo electric actuator (PEA) and flexure-hinge-based positioning mechanism. Due to the existence of the hysteretic nonlinearity in the PEA and the friction in the system, the accurate positioning of the piezo-Actuated positioning system calls applicable control schemes for practical applications. To this end, an implementable adaptive controller is developed in the paper, where a parameterized hysteresis model is employed to reduce the computational load. The formulated adaptive control law guarantees the global stability of the controlled positioning system, and the position error can be driven to approach to zero asymptotically. The advantage is that the real values of the parameters of the positioning system neither need to be identified nor measured; only the parameters in the formulation of the controller are estimated online, making online implementation feasible. Experimental results show the effectiveness of the proposed method.
KW - adaptive control
KW - hysteresis
KW - micro/nano positioning system
KW - piezo actuator
UR - http://www.scopus.com/inward/record.url?scp=85047420811&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047420811&partnerID=8YFLogxK
U2 - 10.1109/ICIEA.2017.8283030
DO - 10.1109/ICIEA.2017.8283030
M3 - Conference contribution
AN - SCOPUS:85047420811
T3 - Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
SP - 1248
EP - 1253
BT - Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
Y2 - 18 June 2017 through 20 June 2017
ER -