Automatic control of mechatronic systems

Kurt Schlacher; Andreas Kugi

International Journal of Applied Mathematics and Computer Science (2001)

  • Volume: 11, Issue: 1, page 131-164
  • ISSN: 1641-876X

Abstract

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This contribution deals with different concepts of nonlinear control for mechatronic systems. Since most physical systems are nonlinear in nature, it is quite obvious that an improvement in the performance of the closed loop can often be achieved only by means of control techniques that take the essential nonlinearities into consideration. Nevertheless, it can be observed that industry often hesitates to implement these nonlinear controllers, despite all advantages existing from the theoretical point of view. On the basis of three different applications, a PWM-controlled dc-to-dc converter, namely the 'Cuk-converter, the problem of hydraulic gap control in steel rolling, and the design of smart structures with piezolelectric sensor and actuator layers, we will demonstrate how one can overcome these problems by exploiting the physical structure of the mathematical models of the considered plants.

How to cite

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Schlacher, Kurt, and Kugi, Andreas. "Automatic control of mechatronic systems." International Journal of Applied Mathematics and Computer Science 11.1 (2001): 131-164. <http://eudml.org/doc/207497>.

@article{Schlacher2001,
abstract = {This contribution deals with different concepts of nonlinear control for mechatronic systems. Since most physical systems are nonlinear in nature, it is quite obvious that an improvement in the performance of the closed loop can often be achieved only by means of control techniques that take the essential nonlinearities into consideration. Nevertheless, it can be observed that industry often hesitates to implement these nonlinear controllers, despite all advantages existing from the theoretical point of view. On the basis of three different applications, a PWM-controlled dc-to-dc converter, namely the 'Cuk-converter, the problem of hydraulic gap control in steel rolling, and the design of smart structures with piezolelectric sensor and actuator layers, we will demonstrate how one can overcome these problems by exploiting the physical structure of the mathematical models of the considered plants.},
author = {Schlacher, Kurt, Kugi, Andreas},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {nonlinear-control; inputoutput linearization; mechatronic systems; passivity; differential geometry; nonlinear -control; input-output linearization; nonlinear control; applications; physical structure; mathematical models},
language = {eng},
number = {1},
pages = {131-164},
title = {Automatic control of mechatronic systems},
url = {http://eudml.org/doc/207497},
volume = {11},
year = {2001},
}

TY - JOUR
AU - Schlacher, Kurt
AU - Kugi, Andreas
TI - Automatic control of mechatronic systems
JO - International Journal of Applied Mathematics and Computer Science
PY - 2001
VL - 11
IS - 1
SP - 131
EP - 164
AB - This contribution deals with different concepts of nonlinear control for mechatronic systems. Since most physical systems are nonlinear in nature, it is quite obvious that an improvement in the performance of the closed loop can often be achieved only by means of control techniques that take the essential nonlinearities into consideration. Nevertheless, it can be observed that industry often hesitates to implement these nonlinear controllers, despite all advantages existing from the theoretical point of view. On the basis of three different applications, a PWM-controlled dc-to-dc converter, namely the 'Cuk-converter, the problem of hydraulic gap control in steel rolling, and the design of smart structures with piezolelectric sensor and actuator layers, we will demonstrate how one can overcome these problems by exploiting the physical structure of the mathematical models of the considered plants.
LA - eng
KW - nonlinear-control; inputoutput linearization; mechatronic systems; passivity; differential geometry; nonlinear -control; input-output linearization; nonlinear control; applications; physical structure; mathematical models
UR - http://eudml.org/doc/207497
ER -

References

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