Closed-Loop Control of SI-HCCI Mode Switch Using Fuel Injection Timing

Author(s):  
Nikhil Ravi ◽  
Michael Jagsch ◽  
Joel Oudart ◽  
Nalin Chaturvedi ◽  
David Cook ◽  
...  

Homogeneous charge compression ignition (HCCI) provides improved efficiency and emissions relative to current engine technologies. One of the barriers to implementing HCCI on production engines is the development of a robust control strategy to transition from traditional spark-ignition (SI) mode to HCCI mode and back. This paper presents such a strategy, based on the control of combustion phasing using fuel injection timing during the mode switch from SI to HCCI. The controller is based on a cycle-by-cycle combustion model developed in previous work. In order to obtain a state estimator for both modes, the model is linearized around operating points corresponding to the steady-states before (SI) and after (HCCI) the switch. The linearized HCCI model is used to synthesize a closed-loop controller to track a desired combustion phasing, with fuel injection timing as the controlled input. The control strategy is tested on a single-cylinder HCCI engine with direct injection. Experimental results at different operating points show that the controller is able to maintain a desirable phasing transient during the mode switch, prevent cycles with very early or late phasing and enable smooth transitions with minimal load fluctuations.

Author(s):  
Jessica Adair ◽  
Matthew Viele ◽  
Ed Van Dyne

Emissions regulations for off-highway engines are tightening towards those of on-highway engines. Present designs will not be able to meet these more stringent regulations because of their use of mechanical fuel injection timing control; more advanced timing control will be required. Ion sensing combined with variable fuel injection timing may help these engines meet the emissions requirements without the drastic price increase that usually accompanies a switch to advanced fuel injection technology. Ion sensing can detect the start of combustion and this signal can be used for closed loop control for the injection timing. The integrity of the ion signal is highly dependent on combustion chamber geometry, sensor placement, and even the polarity of the charge across the sensor. Optimizing all of these effects could improve the detection of the start of combustion from an ion sensor to less than one crank angle degree and provide a signal for closed loop control of the injection timing.


2019 ◽  
Author(s):  
Alessandro Ferrari ◽  
Antonio Mittica ◽  
Carlo Novara ◽  
Oscar Vento ◽  
Massimo Violante ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 566 ◽  
Author(s):  
Fangyuan Zhang ◽  
Zhongshu Wang ◽  
Jing Tian ◽  
Linlin Li ◽  
Kaibo Yu ◽  
...  

To reduce the smoke and nitrogen oxide (NOx) emissions; a detailed study concerned with exhaust gas recirculation (EGR) and diesel injection strategy was conducted on a two-stage series turbocharging diesel engine under transient operating condition. One transient process based on the constant speed of 1650 r/min and load increases linearly from 10% to 100% within 5 s was tested in this study. The effect of the EGR valve control strategy on engine transient performance was examined. The results show that better air-fuel mixing quality can be obtained with the optimized the EGR valve open loop control strategy and the smoke opacity peak decreased more than 64%. Under the EGR valve close loop control strategy; the smoke opacity peak was lower than with open loop control strategy; but higher than without EGR. The effect of fuel injection strategy on engine transient performance was examined with the EGR valve close loop control. The results show that sectional-stage rail pressure (SSRP) strategy (increasing injection pressure from a turning point load to 100% load) and optimizing fuel injection timing can improve the engine emission performance. The satisfactory results can be obtained with lower NOx (382 ppm) emissions and the smoke opacity peak (3.8%), when the turning point load is set to 60% with the injection timing delay 6° CA.


Author(s):  
Steven G. Fritz ◽  
John C. Hedrick ◽  
Tom Weidemann

This paper describes the development of a low emissions upgrade kit for EMD GP20D and GP15D locomotives. These locomotives were originally manufactured in 2001, and met EPA Tier 1 locomotive emission regulations. The 1,491 kW (2,000 HP) EMD GP20D locomotives are powered by Caterpillar 3516B engines, and the 1,119 kW (1,500 HP) EMD GP15D locomotives are powered by Caterpillar 3512B engines. CIT Rail owns a fleet of 50 of these locomotives that are approaching their mid-life before first overhaul. Baseline exhaust emissions testing was followed by a low emissions retrofit development focusing on fuel injection timing, crankcase ventilation filtration, and application of a diesel oxidation catalyst (DOC), and then later a diesel particulate filter (DPF). The result was a EPA Tier 0+ certification of the low emissions upgrade kit, with emission levels below EPA Line-Haul Tier 3 NOx, and Tier 4 HC, CO, and PM levels.


Author(s):  
William J. Emblom ◽  
Klaus J. Weinmann

This paper describes the development and implementation of closed-loop control for oval stamp forming tooling using MATLAB®’s SIMULINK® and the dSPACE®CONTROLDESK®. A traditional PID controller was used for the blank holder pressure and an advanced controller utilizing fuzzy logic combining a linear quadratic gauss controller and a bang–bang controller was used to control draw bead position. The draw beads were used to control local forces near the draw beads. The blank holder pressures were used to control both wrinkling and local forces during forming. It was shown that a complex, advanced controller could be modeled using MATLAB’s SIMULINK and implemented in DSPACE CONTROLDESK. The resulting control systems for blank holder pressures and draw beads were used to control simultaneously local punch forces and wrinkling during the forming operation thereby resulting in a complex control strategy that could be used to improve the robustness of the stamp forming processes.


PLoS ONE ◽  
2015 ◽  
Vol 10 (2) ◽  
pp. e0116323 ◽  
Author(s):  
Haitao Nie ◽  
Kehui Long ◽  
Jun Ma ◽  
Dan Yue ◽  
Jinguo Liu

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