Piezomechanics using intelligent variable-structure control
Chih-Lyang Hwang
Chau Jan
Ye-Hwa Chen
Dept. of Mech. Eng., Tatung Univ., Taipei;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Feb 2001
Volume: 48,
Issue: 1
On page(s): 47-59
ISSN: 0278-0046
References Cited: 26
CODEN: ITIED6
INSPEC Accession Number: 6860879
Digital Object Identifier: 10.1109/41.904550
Current Version Published: 2002-08-07
Abstract
The so-called piezomechanics contain three parts: piezoelectric
translator, carriage mechanism, and control system. It is well known
that piezomechanics have three drawbacks: (1) it should only be loaded
axially; (2) it contains a hysteresis feature; and (3) its expansion is
dependent on temperature. The first drawback is tackled by the design of
the carriage mechanism. This paper focuses on dealing with the second
and third drawbacks by using an intelligent variable-structure control.
First, a neural network is employed to learn the dynamics of the
piezomechanism. Second, a novel forward control based on the learned
model is employed to achieve an acceptable tracking result. Because the
tracking performance by a forward control cannot be guaranteed as the
system is subject to uncertainties, a discrete-time variable-structure
control is synthesized to improve the performance. No state estimator is
required for the proposed control. The stability of the overall system
is verified via the Lyapunov analysis. Experiments are also presented to
confirm the effectiveness of the proposed control
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