LPV identification of a diesel engine torque model

Xiukun Wei; Luigi del Re

LPV identification of a diesel engine torque model

Institute of Design and Control of Mechatronical Systems

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

Abstract

In this paper a Linear Parameters Varying (LPV) torque model for an automotive diesel engine is presented based on the nonlinear subspace identification method. Diesel engine is a nonlinear system and it is not easy to get a precise torque model for control through physical analysis. A LPV state space method is first introduced to estimate the diesel engine model for its speed control. The experiment results show that the model exhibits a very high accuracy for the engine torque estimation that can't be reached by the traditional identification methods. Some discussion about the model structure and its application are presented and a new noninear systems model structure is proposed.

Original language	English
Title of host publication	13th IFAC Symp. of System Identification
Number of pages	5
Publication status	Published - Aug 2003

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

@inproceedings{47f144929e35401e9f10c3b9dbf09df9,

title = "LPV identification of a diesel engine torque model",

abstract = "In this paper a Linear Parameters Varying (LPV) torque model for an automotive diesel engine is presented based on the nonlinear subspace identification method. Diesel engine is a nonlinear system and it is not easy to get a precise torque model for control through physical analysis. A LPV state space method is first introduced to estimate the diesel engine model for its speed control. The experiment results show that the model exhibits a very high accuracy for the engine torque estimation that can't be reached by the traditional identification methods. Some discussion about the model structure and its application are presented and a new noninear systems model structure is proposed.",

author = "Xiukun Wei and {del Re}, Luigi",

year = "2003",

month = aug,

language = "English",

booktitle = "13th IFAC Symp. of System Identification",

}

TY - GEN

T1 - LPV identification of a diesel engine torque model

AU - Wei, Xiukun

AU - del Re, Luigi

PY - 2003/8

Y1 - 2003/8

N2 - In this paper a Linear Parameters Varying (LPV) torque model for an automotive diesel engine is presented based on the nonlinear subspace identification method. Diesel engine is a nonlinear system and it is not easy to get a precise torque model for control through physical analysis. A LPV state space method is first introduced to estimate the diesel engine model for its speed control. The experiment results show that the model exhibits a very high accuracy for the engine torque estimation that can't be reached by the traditional identification methods. Some discussion about the model structure and its application are presented and a new noninear systems model structure is proposed.

AB - In this paper a Linear Parameters Varying (LPV) torque model for an automotive diesel engine is presented based on the nonlinear subspace identification method. Diesel engine is a nonlinear system and it is not easy to get a precise torque model for control through physical analysis. A LPV state space method is first introduced to estimate the diesel engine model for its speed control. The experiment results show that the model exhibits a very high accuracy for the engine torque estimation that can't be reached by the traditional identification methods. Some discussion about the model structure and its application are presented and a new noninear systems model structure is proposed.

M3 - Conference proceedings

BT - 13th IFAC Symp. of System Identification

ER -