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Research Thrusts |
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Engineering Education Innovation
As the world continues to change with globalization and technological advances so must engineering education p...
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Advanced Power System
In the face of an impending energy crisis, the Advanced Power Systems research center is exploring alternative...
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Space Systems
The Space Systems Research group is creating innovative electric propulsion systems to make space travel more ...
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Mechanics of Multi-scale Materials
The Mechanics of Multi-scale Materials research group uncovers the relationships of structures across the full...
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Multi-scale Sensors and Systems
The Multi-scale Sensors and Systems Research Group specializes in the design, fabrication, integration, and te...
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Sustainable Manufacturing and Design
Many of the campus research efforts on sustainability are coordinated by the Sustainable Futures Institute (SF...
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Research Projects
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TI-VCT Engine Optimization |
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Project Date:
12/200412/2006 |
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Jeffrey Naber
Primary Investigator
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Gordon Parker
Co-Primary Investigator
Jeffrey Burl, Dept of Electrical Engineering, MTU
Co-Primary Investigator
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Sponsor:
Ford Motor Company
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The number of independent control parameters on modern gasoline engines has grown to the point where standard calibration and control practices are no longer adequate. Variable valve actuation, electronic throttle, external dilution, charge motion control, variable engine displacement, and lean operation have increased the complexity of torque based control strategies such that optimal performance can not be located by means of full factorial engine mapping. In this research, a unifed set of theoretical models is to be developed based upon steady-state engine test and mapping data that is applicable for integration into the next generation of engine controllers (ECUs) ECUs available in the 2009 model year time frame are expected to have up to a 10x increase (compared to today's EUCs) in computational resources facilitating the proposed type of model based engine control.
A model set will be developed based upon the physical operating principals of the engine and actuators and will enable the development of:
1) Multi-input, Multi-output, model based optimized controller
2) Improved / optimized mapping and calibration procedure
3) Sensitivity analysis of the independent parameters to the dependent parameters and performance factors.
The end result is to reduced calibration time, increase control robustness, and achieve improved fuel consumption, torque, and exhaust emissions through optimized engine control.
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