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APPLICATION OF A MODEL‐BASED ITERATIVE LEARNING TECHNIQUE TO TRACKING CONTROL OF A PIEZOELECTRIC SYSTEM
Author(s) -
Lee FuShin,
Chien ChiangJu,
Wang JhenCheng,
Liu JuiJung
Publication year - 2005
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1111/j.1934-6093.2005.tb00225.x
Subject(s) - iterative learning control , control theory (sociology) , tracking (education) , tracking error , computer science , actuator , model predictive control , iterative method , piezoelectricity , control engineering , scheme (mathematics) , control (management) , artificial intelligence , engineering , algorithm , mathematics , psychology , mathematical analysis , pedagogy , electrical engineering
This paper presents the application of a model‐based iterative learning control technique to position tracking of a piezoelectric system. Identification of the closed‐loop piezoelectric system was undertaken first, and then an iterative learning control methodology based on the identified model was implemented for dynamic tracking control of the actuator. The methodology differs from the conventional iterative learning scheme in that it takes into account the difference of the one‐step‐ahead predictive input between two successive iterations. The methodology compensates for the predictive input difference as well as the causal error in the previous iteration. The results of the experiments prove the excellence of this technique for precision tracking control of the piezoelectric actuator.