MPC for Two-Can SCR System NOx Conversion

The system performs preliminary actions by predicting future NOx levels and ammonia storage states using a catalyst model before actual measurements are taken. The controller uses engine operating parameters (RPM, load, temperature) to anticipate exhaust conditions and pre-adjusts reductant injection rates, allowing the system to proactively optimize NOx conversion while preventing ammonia slip before it occurs.

The system implements feedback control by continuously monitoring ammonia storage capacity in the catalyst and comparing it against target values. The controller adjusts reductant injection rates based on feedback from the catalyst model predictions and actual sensor measurements, creating a closed-loop control system that dynamically optimizes NOx conversion efficiency while maintaining ammonia slip below harmful thresholds.

The system changes parameters by using a simplified catalyst model that relies on readily available engine operating parameters (RPM, load, exhaust temperature) rather than requiring complex calibration data. The model uses predictable relationships between engine parameters and catalyst ammonia storage, avoiding the need for extensive experimental calibration while still achieving accurate predictions for control optimization.

The system uses inexpensive, easily measurable engine operating parameters (RPM, load, temperature) as substitutes for complex, difficult-to-obtain catalyst state measurements. Instead of requiring expensive sensors or complex calibration procedures, the system leverages data already available from the engine control unit, simplifying implementation while maintaining control effectiveness.