Iterative Learning Control of Hysteresis in Piezoelectric Actuators | Zendy

Guilin Zhang | Zendy; Chengjin Zhang | Zendy; Chaoyang Wang | Zendy

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Iterative Learning Control of Hysteresis in Piezoelectric Actuators

Author(s) -

Guilin Zhang,

Chengjin Zhang,

Chaoyang Wang

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/856706

Subject(s) - control theory (sociology) , iterative learning control , hysteresis , feed forward , displacement (psychology) , actuator , trajectory , convergence (economics) , noise (video) , tracking (education) , nonlinear system , tracking error , piezoelectricity , computer science , control (management) , engineering , control engineering , acoustics , physics , artificial intelligence , psychology , pedagogy , quantum mechanics , astronomy , economics , image (mathematics) , psychotherapist , economic growth

We develop convergence criteria of an iterative learning control on the whole desired trajectory to obtain the hysteresis-compensating feedforwardinput in hysteretic systems. In the analysis, the Prandtl-Ishlinskii model is utilized to capture the nonlinear behavior in piezoelectric actuators. Finally, we apply the control algorithm to an experimental piezoelectric actuator and conclude that the tracking error is reduced to 0.15% of the total displacement, which is approximately the noise level of the sensor measurement

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