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Optimal Idle Speed Control of a Light Duty Turbodiesel Engine With the Aim of Minimizing Fuel Consumption
Technical Paper
2011-01-0713
ISSN: 0148-7191, e-ISSN: 2688-3627
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Abstract
Idle Control of Internal Combustion Engines (ICEs) is an important mode of Engine Management Systems (EMS) due to its effects on Fuel Consumption (FC) and pollutions produced in urban traffics. In this paper an optimal controller is used to control the idle speed with respect to minimization of FC in transient situations. In order to design an optimal controller a state space representation of engine in demanded. Subspace identification method is used to derive a proper state space model of engine around idle speed state. The required input/output data is generated using a mean value model. A finite time optimal controller is designed with the aim of minimizing both fuel consumption and speed fluctuations. The influence of finite time value on gross fuel consumption is then studied under various weighting factors. It is shown that the fuel consumption is sensitive to the controlling time duration for finite time LQR.
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Nikzadfar, K. and Shamekhi, A., "Optimal Idle Speed Control of a Light Duty Turbodiesel Engine With the Aim of Minimizing Fuel Consumption," SAE Technical Paper 2011-01-0713, 2011, https://doi.org/10.4271/2011-01-0713.Data Sets - Support Documents
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References
- Jurgen, R. “Automobile Electronics Handbook. New York” McGraw-Hill 1995
- Ye, Zhengmao “Modeling, Identification, Design and Implementation of Nonlinear Automotive Idle Speed Control Systems-An Overview” IEEE Transactions on Systems, Man and Cybernetics November 2007
- Vachtsevanos, G. Farinwata, S. Kang, H. “A Systematic Design Method for Fuzzy Logic Control with Application to Automotive Idle Speed Control,” 31st Conf. Decision Control Tucson, AZ Dec. 1992
- Kolmanovsky, E.Gilbert Cook, J. “Reference Governors for Supplemental Torque Source Control in Turbocharged Diesel Engines” American Control Conference Albuquerque, NM 1 652 656 1997
- Memering, D. Meckl, P. “Comparison of Adaptive Control Technique Applied to Diesel Engine Idle Speed Regulation,” ASME Journal of Dynamic Systems Measurement and Control 124 682 688 Dec. 2000
- Villegas, J. Genc, U. Karagiorgis, S. Tafner, R. et al. “Auto-Tuning of PID Controllers for Calibration of Idle Speed Controller Maps in Diesel Engines,” SAE Technical Paper 2010-01-0330 2010 10.4271/2010-01-0330
- Mills, J.S. “Multivariable Control of Engine Idle Speed,” SAE Technical Paper 970611 1997 10.4271/970611
- Han, M. Loh, R.N.K. Wang, L. Lee, A. et al. “Optimal Idle Speed Control of an Automotive Engine,” SAE Technical Paper 981059 1998 10.4271/981059
- Jensen, J.-P. Kristensen, A.F. Sorenson, S.C. Houbak, N. et al. “Mean Value Modeling of a Small Turbocharged Diesel Engine,” SAE Technical Paper 910070 1991 10.4271/910070
- J Kao, M.H. Moskwa, J. J. “Turbocharged Diesel Engine Modeling for Nonlinear Engine Control and State Estimation” ASME Journal of Dynamic Systems Measurement and Control 117 March 1995
- Gerhardt, J. Hönninger, H. Bischof, H. “A New Approach to Functional and Software Structure for Engine Management Systems - BOSCH ME7,” SAE Technical Paper 980801 1998 10.4271/980801
- Guzzella, L. Onder, C.H “Introduction to Modeling and Control of ICE systems” Springer 2004
- Nelles, O. “Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models” Springer Berlin Heidelberg 2000
- Ljung, L. “System Identification: Theory for Users” Prentice Hall PTR 1999
- Overschee, P. Moor, B. “Subspace Identification for Linear Systems: Theory-Implementation-Applications” Kluwer Academic Publishers 1996
- Keyvaani, H. Mohammadi, A Pariz, N. “Identification of Modal Series Model of Nonlinear Systems Based on Subspace Algorithms” Journal of Applied Sciences 10 909 914 2010