scholarly journals Control-Oriented Modeling of Cycle-to-Cycle Combustion Variability at the Misfire Limit in SI Engines

Author(s):  
Bryan P. Maldonado ◽  
Brian C. Kaul

Abstract A control-oriented model is presented that can capture the prior-cycle correlation of combustion cycles during conditions with high levels of exhaust gas recirculation (EGR). Combustion events are modeled in discrete time and the dynamic evolution is captured by the residual air, fuel, and inert gas trapped in the combustion chamber. The mathematical formulation of the model is presented together with the calibration procedure to emulate a particular engine operating condition. A cycle-to-cycle system identification methodology is described which allows regressing model parameters from experimental data. Simulations are presented and compared to real engine measurements to show the modeling potential for analysis and control of combustion events.

2022 ◽  
pp. 155-187
Author(s):  
Dhinesh Balasubramanian ◽  
Inbanaathan Papla Venugopal ◽  
Rajarajan Amudhan ◽  
Tanakorn Wongwuttanasatian ◽  
Kasianantham Nanthagopal

2021 ◽  
Author(s):  
Felix Schaefer

One of the possible SOFC system-configurations providing the highest potential of electrical DC-efficiency of up to 65% is a SOFC-system with anode exhaust gas recirculation (AEGR), where part of the depleted anode exhaust gas is recirculated and mixed with fresh natural gas upstream of the reformer. For safe and durable operation of a SOFC-system, the oxygen-to-carbon-ratio and the fuel utilization as characteristic parameters must not exceed stack- and reformer-specific thresholds. The determination and control of the characteristic parameters are therefore of crucial importance. However, this poses especially for SOFC-systems with AEGR due to enhanced system complexity a challenging task. In this paper, the authors present an overview on representative control strategies as well as different approaches to determine or diagnose characteristic parameters with emphasis on SOFC-systems with AEGR. Some conclusions are discussed based on the provided overview and outlines recommendations for future research work.


Author(s):  
Mike Huang ◽  
Hayato Nakada ◽  
Srinivas Polavarapu ◽  
Ken Butts ◽  
Ilya Kolmanovsky

A model predictive control (MPC) strategy is developed for the diesel engine air path. The objective is to regulate the intake manifold pressure (MAP) and exhaust gas recirculation rate (EGR rate) to the specified set-points by coordinated control of the Variable Geometry Turbine (VGT), and EGR valve. The approach taken enforces a decay in a flexible Lyapunov function so that a computationally simple MPC controller can be constructed using a single-step prediction and control horizon. A rate-based framework is also utilized to achieve zero-steady state tracking in the presence of model and plant mismatch. Closed-loop simulation results are reported.


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