Control Design Based on FMI: A Diesel Engine Control Case Study

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Standard

Control Design Based on FMI: A Diesel Engine Control Case Study. / Nylén, Anders; Henningsson, Maria; Cervin, Anton; Tunestål, Per.

8th IFAC Symposium on Advances in Automotive Control AAC 2016. red. / Per Tunestål; Lars Eriksson. IFAC, 2016. s. 231–238 ( IFAC-PapersOnLine; Vol. 49, Nr. 11).

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Harvard

Nylén, A, Henningsson, M, Cervin, A & Tunestål, P 2016, Control Design Based on FMI: A Diesel Engine Control Case Study. i P Tunestål & L Eriksson (red), 8th IFAC Symposium on Advances in Automotive Control AAC 2016. IFAC-PapersOnLine, nr. 11, vol. 49, IFAC, s. 231–238, Sverige, 2016/06/20. https://doi.org/10.1016/j.ifacol.2016.08.035

APA

Nylén, A., Henningsson, M., Cervin, A., & Tunestål, P. (2016). Control Design Based on FMI: A Diesel Engine Control Case Study. I P. Tunestål, & L. Eriksson (Red.), 8th IFAC Symposium on Advances in Automotive Control AAC 2016 (s. 231–238). ( IFAC-PapersOnLine; Vol. 49, Nr. 11). IFAC. https://doi.org/10.1016/j.ifacol.2016.08.035

CBE

Nylén A, Henningsson M, Cervin A, Tunestål P. 2016. Control Design Based on FMI: A Diesel Engine Control Case Study. Tunestål P, Eriksson L, redaktörer. I 8th IFAC Symposium on Advances in Automotive Control AAC 2016. IFAC. s. 231–238. ( IFAC-PapersOnLine; 11). https://doi.org/10.1016/j.ifacol.2016.08.035

MLA

Nylén, Anders et al. "Control Design Based on FMI: A Diesel Engine Control Case Study". och Tunestål, Per Eriksson, Lars (redaktörer). 8th IFAC Symposium on Advances in Automotive Control AAC 2016. IFAC-PapersOnLine; 11. IFAC. 2016, 231–238. https://doi.org/10.1016/j.ifacol.2016.08.035

Vancouver

Nylén A, Henningsson M, Cervin A, Tunestål P. Control Design Based on FMI: A Diesel Engine Control Case Study. I Tunestål P, Eriksson L, redaktörer, 8th IFAC Symposium on Advances in Automotive Control AAC 2016. IFAC. 2016. s. 231–238. ( IFAC-PapersOnLine; 11). https://doi.org/10.1016/j.ifacol.2016.08.035

Author

Nylén, Anders ; Henningsson, Maria ; Cervin, Anton ; Tunestål, Per. / Control Design Based on FMI: A Diesel Engine Control Case Study. 8th IFAC Symposium on Advances in Automotive Control AAC 2016. redaktör / Per Tunestål ; Lars Eriksson. IFAC, 2016. s. 231–238 ( IFAC-PapersOnLine; 11).

RIS

TY - GEN

T1 - Control Design Based on FMI: A Diesel Engine Control Case Study

AU - Nylén, Anders

AU - Henningsson, Maria

AU - Cervin, Anton

AU - Tunestål, Per

PY - 2016/6/20

Y1 - 2016/6/20

N2 - Modelica allows systems to be described with reuseable components and with a high precision. To be able to use such complex models efficiently, high demands are set on tools that allow the user to extract the information needed from the models in a straight-forward manner. For this purpose, design-of-experiments techniques can be used to systematically analyze the complex models.In this paper, it is demonstrated how a Modelica model of a diesel engine can be used for control design. The engine model has multiple inputs and outputs, it is nonlinear, has many parameters, and has a higher order than most control design algorithms are able to handle in a numerically robust way.It is shown how the features for dynamic design-of-experiments analysis in the FMI Toolbox for MATLAB can be used to analyze the variation in system dynamics across the engine operating range. A gain scheduling of nine multivariable linear-quadratic-gaussian (LQG) controllers, is designed based on linearization and model reduction of the original nonlinear FMU model.

AB - Modelica allows systems to be described with reuseable components and with a high precision. To be able to use such complex models efficiently, high demands are set on tools that allow the user to extract the information needed from the models in a straight-forward manner. For this purpose, design-of-experiments techniques can be used to systematically analyze the complex models.In this paper, it is demonstrated how a Modelica model of a diesel engine can be used for control design. The engine model has multiple inputs and outputs, it is nonlinear, has many parameters, and has a higher order than most control design algorithms are able to handle in a numerically robust way.It is shown how the features for dynamic design-of-experiments analysis in the FMI Toolbox for MATLAB can be used to analyze the variation in system dynamics across the engine operating range. A gain scheduling of nine multivariable linear-quadratic-gaussian (LQG) controllers, is designed based on linearization and model reduction of the original nonlinear FMU model.

U2 - 10.1016/j.ifacol.2016.08.035

DO - 10.1016/j.ifacol.2016.08.035

M3 - Paper in conference proceeding

T3 - IFAC-PapersOnLine

SP - 231

EP - 238

BT - 8th IFAC Symposium on Advances in Automotive Control AAC 2016

A2 - Tunestål, Per

A2 - Eriksson, Lars

PB - IFAC

ER -