Title :
Modeling and predictive control of a new injection system for Compressed Natural Gas engines
Author :
Lino, Paolo ; Maione, Bruno ; Amorese, Claudio ; De Matthaeis, Sisto
Author_Institution :
Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari
Abstract :
The accurate metering of the air/fuel mixture in internal combustion engines equipped with common rail injection systems strictly depends on the injection pressure regulation. This is a critical objective to be accomplished in compressed natural gas injection systems, as the gas compressibility makes the fuel delivery process more complex. Since the design of a controller requires a model of the injection system, in this paper a physics-based state space model of an innovative compressed natural gas injection system is presented. The model parameters only depend on well defined geometrical data and fuel properties. Comparison of simulation and experimental results for different operating conditions validates the model. Further, the proposed model is used for designing a generalized predictive controller (GPC) for the injection pressure regulation. The implementation of the control law consists of simple steps
Keywords :
compressed air systems; compressibility; control system synthesis; fuel systems; internal combustion engines; natural gas technology; predictive control; pressure control; common rail injection system; compressed natural gas engine; fuel delivery process; generalized predictive controller; injection pressure regulation; internal combustion engine; Control systems; Diesel engines; Fuels; Internal combustion engines; Natural gas; Predictive control; Predictive models; Pressure control; Rails; Solid modeling;
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
DOI :
10.1109/CACSD-CCA-ISIC.2006.4776889