Control Oriented Modeling of a Water Brake Dynamometer

Martin Vetr; Thomas Ernst Passenbrunner; Hannes Trogmann; Peter Ortner; H. Kokal; Martin Schmidt; Michael Paulweber

Control Oriented Modeling of a Water Brake Dynamometer

Martin Vetr, Thomas Ernst Passenbrunner, Hannes Trogmann, Peter Ortner, H. Kokal, Martin Schmidt, Michael Paulweber

Institute of Design and Control of Mechatronical Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Water brakes combine high power ratings with a low moment of inertia and in case of high power ratings they are a good alternative to other braking systems. Despite these advantages water brakes are not widely used in dynamic testing as their nonlinearities make them hard to control. Mathematical models of hydrodynamic dynamometers are presented in this paper. A first principles approach is compared with a data-based model and a gray box model. The first principles model is hard to parametrize. In contrast a purely databased linear model is easy to tune but is not able to extrapolate. To increase the extrapolation ability it gets necessary to use a gray box approach which combines the simple structure of a first principles model with a data-based part. The resulting gray box model is best suited to the plant, of simple structure and can be used for the design of a model-based controller.

Original language	English
Title of host publication	Proceedings of the 2010 IEEE Multi-Conference on Systems and Control
Number of pages	6
Publication status	Published - 2010

Fields of science

202 Electrical Engineering, Electronics, Information Engineering
202027 Mechatronics
202034 Control engineering
203027 Internal combustion engines
206001 Biomedical engineering
206002 Electro-medical engineering
207109 Pollutant emission

Cite this

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title = "Control Oriented Modeling of a Water Brake Dynamometer",

abstract = "Water brakes combine high power ratings with a low moment of inertia and in case of high power ratings they are a good alternative to other braking systems. Despite these advantages water brakes are not widely used in dynamic testing as their nonlinearities make them hard to control. Mathematical models of hydrodynamic dynamometers are presented in this paper. A first principles approach is compared with a data-based model and a gray box model. The first principles model is hard to parametrize. In contrast a purely databased linear model is easy to tune but is not able to extrapolate. To increase the extrapolation ability it gets necessary to use a gray box approach which combines the simple structure of a first principles model with a data-based part. The resulting gray box model is best suited to the plant, of simple structure and can be used for the design of a model-based controller.",

author = "Martin Vetr and Passenbrunner, \{Thomas Ernst\} and Hannes Trogmann and Peter Ortner and H. Kokal and Martin Schmidt and Michael Paulweber",

year = "2010",

language = "English",

booktitle = "Proceedings of the 2010 IEEE Multi-Conference on Systems and Control",

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TY - GEN

T1 - Control Oriented Modeling of a Water Brake Dynamometer

AU - Vetr, Martin

AU - Passenbrunner, Thomas Ernst

AU - Trogmann, Hannes

AU - Ortner, Peter

AU - Kokal, H.

AU - Schmidt, Martin

AU - Paulweber, Michael

PY - 2010

Y1 - 2010

N2 - Water brakes combine high power ratings with a low moment of inertia and in case of high power ratings they are a good alternative to other braking systems. Despite these advantages water brakes are not widely used in dynamic testing as their nonlinearities make them hard to control. Mathematical models of hydrodynamic dynamometers are presented in this paper. A first principles approach is compared with a data-based model and a gray box model. The first principles model is hard to parametrize. In contrast a purely databased linear model is easy to tune but is not able to extrapolate. To increase the extrapolation ability it gets necessary to use a gray box approach which combines the simple structure of a first principles model with a data-based part. The resulting gray box model is best suited to the plant, of simple structure and can be used for the design of a model-based controller.

AB - Water brakes combine high power ratings with a low moment of inertia and in case of high power ratings they are a good alternative to other braking systems. Despite these advantages water brakes are not widely used in dynamic testing as their nonlinearities make them hard to control. Mathematical models of hydrodynamic dynamometers are presented in this paper. A first principles approach is compared with a data-based model and a gray box model. The first principles model is hard to parametrize. In contrast a purely databased linear model is easy to tune but is not able to extrapolate. To increase the extrapolation ability it gets necessary to use a gray box approach which combines the simple structure of a first principles model with a data-based part. The resulting gray box model is best suited to the plant, of simple structure and can be used for the design of a model-based controller.

M3 - Conference proceedings

BT - Proceedings of the 2010 IEEE Multi-Conference on Systems and Control

ER -