Model predictive control: A unified approach for urea-based SCR systems

Thomas L. McKinley, Andrew G Alleyne

Research output: Contribution to journalConference article

Abstract

Despite the fact that urea-based selective catalytic reduction (SCR) of NOx is a key technology for achieving on- and off-highway diesel emission standards, significant control challenges remain. Transient operation, combined with dramatic changes in catalyst dynamics over the operating range, cause highly nonlinear system behavior. Moreover, these effects depend on catalyst formulation and new catalysts continue to be developed. With many controllers, any difference in catalyst formulation, converter size, and engine emissions calibration require control system re-tuning. To minimize control development effort, this paper presents a novel "generic" controller for SCR systems. Control action is grounded in a physics-based, nonlinear, embedded model. Through the model, controller parameters are adjusted a priori for catalyst formulation and converter size. The few remaining tuning levers are quite intuitive, and require no special knowledge of controls theory. The controller design is a type of model predictive control, and includes novel features for on-line determination of simplified, linear models as well as urea dosing limits for NH3 slip control. Robust performance is achieved using feedback from NOx and NH3 sensors. Controller capability is demonstrated for SCR inlet conditions corresponding to an EPA 2007 heavy-duty diesel operating on the European Steady-State Cycle (ESC) and US EPA heavy-duty FTP cycle.

Original languageEnglish (US)
Pages (from-to)673-689
Number of pages17
JournalSAE Technical Papers
DOIs
StatePublished - Jan 1 2010
EventSAE 2010 World Congress and Exhibition - Detroit, MI, United States
Duration: Apr 13 2010Apr 13 2010

Fingerprint

Selective catalytic reduction
Model predictive control
Urea
Controllers
Catalysts
Tuning
Control theory
Nonlinear systems
Physics
Calibration
Engines
Feedback
Control systems
Sensors

ASJC Scopus subject areas

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering

Cite this

Model predictive control : A unified approach for urea-based SCR systems. / McKinley, Thomas L.; Alleyne, Andrew G.

In: SAE Technical Papers, 01.01.2010, p. 673-689.

Research output: Contribution to journalConference article

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