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Supervisory Framework and Model-based Control of Engine and Exhaust Aftertreatment System
- Source :
- ECC
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- In this article, a modular control framework for integrated engine and exhaust aftertreatment management is proposed. The framework includes a supervisory controller which has three function blocks: engine setpoint generator, exhaust aftertreatment system (EATS) setpoint generator and emission limits generator. The focus of the article is on development and evaluation of a model based optimal control strategy for the engine setpoint generator. The control objectives of this block and the framework, in general, are to improve the fuel economy while fulfilling emission legislation. The framework is proposed for heavy duty diesel engines, and the strategy for the engine setpoint generator is evaluated using a high-fidelity simulation platform where a validated GT-POWER model of a 13L turbo compound diesel engine and first principles model of an EATS are used. The developed engine setpoint generator–a first step towards a complete implementation of the proposed framework–has reduced complexity compared to a standard controller used in industry consisting of feedforward maps and feedback control. Simulation results show 0.5% decrease in fuel consumption, compared to the standard controller, while maintaining ${NO}_{x}$ emissions under the legislative limit.
- Subjects :
- 0209 industrial biotechnology
Temperature control
Generator (computer programming)
Computer science
020208 electrical & electronic engineering
Feed forward
02 engineering and technology
Diesel engine
Optimal control
Automotive engineering
Setpoint
020901 industrial engineering & automation
Control theory
0202 electrical engineering, electronic engineering, information engineering
Fuel efficiency
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 European Control Conference (ECC)
- Accession number :
- edsair.doi...........e13d05d7e36b61418f279fb402ede90b
- Full Text :
- https://doi.org/10.23919/ecc.2018.8550120