Abstract
Reduction of oxides of nitrogen (NOx) emitted from diesel exhaust systems is a current problem due to increased stringency in worldwide emissions legislation. One of the most successful approaches to reduce tailpipe NOx is to reduce NOx by ammonia over a catalyst, known as Selective Catalytic Reduction (SCR). Control of the ammonia injection in such systems is typically a map-based approach, often augmented by feedback from NOx sensors to account for mechanical variation and ageing. We show that a predictive control approach to this system yields several compelling improvements over such industry standard controllers during a representative test cycle. These include better NOx conversion performance whilst simultaneously minimising the quantity of ammonia released to the environment, along with reduced design effort.
Original language | English |
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Pages | 3073 - 3078 |
DOIs | |
Publication status | Published - 23 Nov 2015 |
Event | European Control Conference (ECC) - Linz, Austria Duration: 15 Jul 2015 → 17 Jul 2015 |
Conference
Conference | European Control Conference (ECC) |
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Country/Territory | Austria |
City | Linz |
Period | 15/07/15 → 17/07/15 |
Bibliographical note
The full text is currently unavailable on the repository.Keywords
- Thyristors
- Mathematical model
- Sensors
- Predictive models
- Diesel engines
- Inductors
- Predictive control
- predictive control
- air pollution control
- ammonia
- catalysis
- chemical variables control
- diesel engines
- exhaust systems
- feedback
- NH3
- predictive control approach
- diesel selective catalytic reduction
- nitrogen oxide reduction
- NOx emission
- diesel exhaust system
- emissions legislation
- tailpipe NOx reduction
- ammonia injection control
- map-based approach
- NOx sensor feedback
- mechanical variation
- ageing
- NOx conversion performance
- ammonia release minimisation
- NOx
- NOx Reduction
- Selective Catalytic Reduction
- Predictive Control
- Exhaust Aftertreatment
- Emissions Reduction