High fidelity models that balance accuracy and computation load are essential for real-time model-based control of homogeneous charge compression ignition (HCCI) engines. Gray-box modeling offers an effective technique to obtain desirable HCCI control models. In this paper, a physical HCCI engine model is combined with two feed-forward artificial neural network models to form a serial architecture gray-box model. The resulting model can predict three major HCCI engine control outputs, including combustion phasing, indicated mean effective pressure (IMEP), and exhaust gas temperature (Texh). The gray-box model is trained and validated with the steady-state and transient experimental data for a large range of HCCI operating conditions. The results indicate that the gray-box model significantly improves the predictions from the physical model. For 234 HCCI conditions tested, the gray-box model predicts combustion phasing, IMEP, and Texh with an average error of less than 1 crank angle degree, 0.2 bar, and 6 °C, respectively. The gray-box model is computationally efficient and it can be used for real-time control application of HCCI engines.
Skip Nav Destination
Article navigation
October 2014
Research-Article
Gray-Box Modeling for Performance Control of an HCCI Engine With Blended Fuels
M. Bidarvatan,
M. Bidarvatan
Department of Mechanical
Engineering-Engineering Mechanics,
e-mail: mbidarva@mtu.edu
Engineering-Engineering Mechanics,
Michigan Technological University
,Houghton, MI 49930
e-mail: mbidarva@mtu.edu
Search for other works by this author on:
M. Shahbakhti
M. Shahbakhti
Department of Mechanical
Engineering-Engineering Mechanics,
e-mail: mahdish@mtu.edu
Engineering-Engineering Mechanics,
Michigan Technological University
,Houghton, MI 49930
e-mail: mahdish@mtu.edu
Search for other works by this author on:
M. Bidarvatan
Department of Mechanical
Engineering-Engineering Mechanics,
e-mail: mbidarva@mtu.edu
Engineering-Engineering Mechanics,
Michigan Technological University
,Houghton, MI 49930
e-mail: mbidarva@mtu.edu
M. Shahbakhti
Department of Mechanical
Engineering-Engineering Mechanics,
e-mail: mahdish@mtu.edu
Engineering-Engineering Mechanics,
Michigan Technological University
,Houghton, MI 49930
e-mail: mahdish@mtu.edu
Contributed by the Combustion and Fuels Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received February 16, 2014; final manuscript received February 23, 2014; published online May 2, 2014. Editor: David Wisler.
J. Eng. Gas Turbines Power. Oct 2014, 136(10): 101510 (7 pages)
Published Online: May 2, 2014
Article history
Received:
February 16, 2014
Revision Received:
February 23, 2014
Citation
Bidarvatan, M., and Shahbakhti, M. (May 2, 2014). "Gray-Box Modeling for Performance Control of an HCCI Engine With Blended Fuels." ASME. J. Eng. Gas Turbines Power. October 2014; 136(10): 101510. https://doi.org/10.1115/1.4027278
Download citation file:
Get Email Alerts
Cited By
Cooling System of a High-Pressure Centrifugal Compressor: Development and Impact on Wheel Temperatures
J. Eng. Gas Turbines Power (May 2025)
Variable Cycle Engine Concepts and Component Technologies—An Overview
J. Eng. Gas Turbines Power (May 2025)
Numerical Analysis of a Two-Phase Turbine: A Comparative Study Between Barotropic and Mixture Models
J. Eng. Gas Turbines Power (May 2025)
A Comprehensive Literature Review on the Resolution of Turbine Engine Performances' Inverse Problems
J. Eng. Gas Turbines Power (May 2025)
Related Articles
Sensitivity Analysis of Combustion Timing of Homogeneous Charge Compression Ignition Gasoline Engines
J. Dyn. Sys., Meas., Control (January,2009)
Physics Based Control Oriented Model for HCCI Combustion Timing
J. Dyn. Sys., Meas., Control (March,2010)
The Impact of Low Octane Primary Reference Fuel on HCCI Combustion Burn Rates: The Role of Thermal Stratification
J. Eng. Gas Turbines Power (October,2017)
Dynamic Modeling of Residual-Affected Homogeneous Charge Compression Ignition Engines with Variable Valve Actuation
J. Dyn. Sys., Meas., Control (September,2005)
Related Chapters
Lay-Up and Start-Up Practices
Consensus on Operating Practices for Control of Water and Steam Chemistry in Combined Cycle and Cogeneration
Physiology of Human Power Generation
Design of Human Powered Vehicles
Introduction
Consensus on Operating Practices for Control of Water and Steam Chemistry in Combined Cycle and Cogeneration