Paper
2 February 2009 Design of a self-adaptive fuzzy PID controller for piezoelectric ceramics micro-displacement system
Shuang Zhang, Yuning Zhong, Zhongbao Xu
Author Affiliations +
Abstract
In order to improve control precision of the piezoelectric ceramics (PZT) micro-displacement system, a self-adaptive fuzzy Proportional Integration Differential (PID) controller is designed based on the traditional digital PID controller combining with fuzzy control. The arithmetic gives a fuzzy control rule table with the fuzzy control rule and fuzzy reasoning, through this table, the PID parameters can be adjusted online in real time control. Furthermore, the automatic selective control is achieved according to the change of the error. The controller combines the good dynamic capability of the fuzzy control and the high stable precision of the PID control, adopts the method of using fuzzy control and PID control in different segments of time. In the initial and middle stage of the transition process of system, that is, when the error is larger than the value, fuzzy control is used to adjust control variable. It makes full use of the fast response of the fuzzy control. And when the error is smaller than the value, the system is about to be in the steady state, PID control is adopted to eliminate static error. The problems of PZT existing in the field of precise positioning are overcome. The results of the experiments prove that the project is correct and practicable.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shuang Zhang, Yuning Zhong, and Zhongbao Xu "Design of a self-adaptive fuzzy PID controller for piezoelectric ceramics micro-displacement system", Proc. SPIE 7159, 2008 International Conference on Optical Instruments and Technology: MEMS/NEMS Technology and Applications, 71590G (2 February 2009); https://doi.org/10.1117/12.805776
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KEYWORDS
Control systems

Ferroelectric materials

Fuzzy logic

Picosecond phenomena

Ceramics

Phase modulation

Fuzzy systems

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