Experimental Demonstration of a New Model-Based SCR Control Strategy for Cleaner Heavy-Duty Diesel Engines

Willems, Frank; Cloudt, Robert

doi:10.1109/tcst.2010.2057510

Cited by 59 publications

(21 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SCR control strategy used here is the ammonia-coverage-ratio-based closed-loop control strategy [11,27,29], which is shown in Figure 1. A feedforward controller is adopted to calculate the basic urea dosage based on the known parameters, which can be described by the following equation:…”

Section: Control Strategymentioning

confidence: 99%

“…On the other hand, it is difficult to achieve high NO x reduction and low NH 3 slip [10]. Thus, more efficient control techniques are necessary for such operating conditions, which include adaptive control [11,12], state estimation [13][14][15][16] and model predictive control [17], etc. A model-based closed-loop strategy along with a PI controller was designed in [9] to control the ammonia storage at a proper level, which has been validated under Euro-6 WHTC test cycle.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model-Based Temperature Sensor Fault Detection and Fault-Tolerant Control of Urea-Selective Catalyst Reduction Control Systems

Wang

Zeng

et al. 2018

Energies

View full text Add to dashboard Cite

This paper aims at investigating the fault diagnosis of the selective catalyst reduction (SCR) outlet temperature sensors and fault-tolerant control methods of the SCR system, and three typical faults of downstream temperature sensors were modeled and analyzed to present influences of different faults on the SCR system performances (such as nitrogen oxides (NO x ) emission and conversion efficiency, NH 3 slip, urea dosage and ammonia coverage estimation). A temperature model was established to estimate the SCR outlet temperature, and diagnostics were developed based on the differences between model estimates and sensor measurements. Once a downstream temperature sensor fault was detected, the fault-tolerant control will be enabled, and the output of the sensor may be substituted with the estimates of the model. Thus, SCR performances shall be maintained within the acceptable ranges. Moreover, a 0-D SCR model was also established to validate the capability of diagnostics and fault-tolerant control strategy over the European transient cycle (ETC).

show abstract

Section: Control Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model-Based Temperature Sensor Fault Detection and Fault-Tolerant Control of Urea-Selective Catalyst Reduction Control Systems

Wang

Zeng

et al. 2018

Energies

View full text Add to dashboard Cite

show abstract

“…In extreme cases, this can destabilize the control system [12]. The use of an NH3 sensor can help to avoid this ambiguity, because the NH3 sensor is not sensitive to NO [13] (although there is an issue with high NO2 levels). From a control point of view, neither a perfect NOx sensor nor a perfect NH3 are currently available.…”

Section: Nonlinearitiesmentioning

confidence: 99%

The State of the Art in Selective Catalytic Reduction Control

Skaf¹,

Aliyev²,

Shead³

et al. 2014

SAE Technical Paper Series

View full text Add to dashboard Cite

“…Researchers have proposed some effective control strategies to handle the trade-off issue, including the open-loop control strategy [5,6] and the closed-loop control strategy [7][8][9][10][11][12][13][14][15]. The authors in reference [5] propose an improved open-loop injection control strategy to make the NOx conversion efficiency higher than 75% by taking into account the NH 3 storage in the SCR system.…”

Section: Introductionmentioning

confidence: 99%

Improving the Diagnosis Accuracy of Hydrothermal Aging Degree of V2O5/WO3–TiO2 Catalyst in SCR Control System Using an GS–PSO–SVM Algorithm

Zeng

et al. 2017

Sustainability

View full text Add to dashboard Cite

Selective catalytic reduction (SCR) is one of the most effective technologies used for eliminating NO x from diesel engines. This paper presents a novel method based on a support vector machine (SVM) and particle swarm optimization (PSO) with grid search (GS) to diagnose the degree of aging of the V 2 O 5 /WO 3 -TiO 2 catalyst in the SCR system. This study shows the aging effect on the performance of a NH 3 slip based closed-loop SCR control system under different aging factors (α), which are defined by the SCR reaction rate (R scr ). A diagnosis of the performance of GS-PSO-SVM has been presented as compared to SVM, GS-SVM and PSO-SVM to get reliable results. The results show that the average prediction diagnosis accuracy of the degree of catalytic aging is up to 93.8%, 93.1%, 92.9% and 92.0% for GS-PSO-SVM, PSO-SVM, GS-SVM and SVM respectively. It is demonstrated that GS-PSO-SVM is able to identify the SCR catalyst's degree of aging, to ultimately assist with fault tolerance in the aging of the SCR catalyst.

show abstract

Experimental Demonstration of a New Model-Based SCR Control Strategy for Cleaner Heavy-Duty Diesel Engines

Cited by 59 publications

References 15 publications

Model-Based Temperature Sensor Fault Detection and Fault-Tolerant Control of Urea-Selective Catalyst Reduction Control Systems

Model-Based Temperature Sensor Fault Detection and Fault-Tolerant Control of Urea-Selective Catalyst Reduction Control Systems

The State of the Art in Selective Catalytic Reduction Control

Improving the Diagnosis Accuracy of Hydrothermal Aging Degree of V2O5/WO3–TiO2 Catalyst in SCR Control System Using an GS–PSO–SVM Algorithm

Contact Info

Product

Resources

About