scholarly journals Lean-burn air-fuel ratio control using genetic algorithm-based PI controller

2021 ◽  
Vol 10 (3) ◽  
pp. 126-134
Author(s):  
Serdar COŞKUN ◽  
Ercan KÖSE
Keyword(s):  
Genetic Algorithm ◽  
Pi Controller ◽  
Lean Burn ◽  
Fuel Ratio

scholarly journals Application of the genetic algorithm for cascade control of a HVAC system

2019 ◽  
Vol 292 ◽  
pp. 01064 ◽  
Author(s):  
Donka Ivanova ◽  
Nikolay Valov ◽  
Martin Deyanov
Keyword(s):  
Genetic Algorithm ◽  
Control Systems ◽  
Pid Controller ◽  
Classical Method ◽  
Pi Controller ◽  
Cascade Control ◽  
Hvac System ◽  
Cascade System ◽  
Outer Loop ◽  
Cascade Control System

In this article the application of genetic algorithm for tuning of HVAC cascade system is proposed. The tuning procedure for a cascade system is very time-consuming and practice shows that additional controller tuning is needed when classical method is used. The main problem in classical method is the interconnection between the parameters of the two controllers. The proposed optimal tuning procedure overcomes the disadvantages. It is based on the following criteria: minimum integral square error, minimum settling time and minimum overshoot. The best process quality is achieved with PI controller in the inner loop and a PID controller in the outer loop of the cascade HVAC system. The proposed method for simultaneous tuning of controller parameters in a cascade control system can be applied in different control systems.

Air-Fuel Ratio Control of Lean-Burn SI Engines Using Fuzzy Sliding-Model Technique

2017 ◽  
Author(s):  
Hsiu-Ming Wu ◽  
Reza Tafreshi
Keyword(s):  
Sliding Mode ◽  
Operating Conditions ◽  
Lean Burn ◽  
Time Varying Delay ◽  
Fuel Ratio ◽  
Model Free ◽  
Main Challenge ◽  
System Input ◽  
Si Engines ◽  
High Level

Minimization of the carbon dioxide and harmful pollutants emissions and maximization of fuel economy for the lean-burn spark ignition (SI) engines significantly rely on precise air-fuel ratio (AFR) control. However, the main challenge of AFR control is the large time-varying delay which exists in lean-burn engines. Since the system is usually subject to external disturbances and uncertainties, a high level of robustness in the AFR control design has to be considered. Herein, a fuzzy sliding-mode control (FSMC) technique is proposed to track the desired AFR in the presence of periodic disturbances. The proposed method is model free and does not need any system characteristics. Based on the fuzzy system input-output data, two scaling factors are first employed to normalize the sliding surface and its derivative. According to the concept of the if-then rule, an appropriate rule table for the logic system is designed. Finally, the feasibility and effectiveness of the proposed control scheme are evaluated under various operating conditions.

Characterization of Lean Burn Module Air Blast Pilot Injector With Laser Techniques

2013 ◽  
Vol 135 (12) ◽  
Author(s):  
U. Meier ◽  
S. Freitag ◽  
J. Heinze ◽  
L. Lange ◽  
E. Magens ◽  
...  
Keyword(s):  
Flow Field ◽  
Soot Formation ◽  
Test Methods ◽  
Oh Radicals ◽  
Main Stage ◽  
Fuel Injector ◽  
Lean Burn ◽  
Fuel Ratio ◽  
Optical Test ◽  
Planar Laser

For lean burn combustor development in low emission aero-engines, the pilot stage of the fuel injector plays a key role with respect to stability, operability, NOx emissions, and smoke production. Therefore it is of considerable interest to characterize the pilot module in terms of pilot zone mixing, fuel placement, flow field, and interaction with the main stage. This contribution focuses on the investigation of soot formation during pilot-only operation. Optical test methods were applied in an optically accessible single sector rig at engine idle conditions. Using planar laser-induced incandescence (LII), the distribution of soot and its dependence on air/fuel ratio, as well as geometric injector parameters, was studied. The data shows that below a certain air/fuel ratio, an increase of soot production occurs. This is in agreement with smoke number measurements in a standard single sector flame tube rig without optical access. Reaction zones were identified using chemiluminescence of OH radicals. In addition, the injector flow field was investigated with PIV. A hypothesis regarding the mechanism of pilot smoke formation was made based on these findings. This along with further investigations will form the basis for developing strategies for smoke improvement at elevated pilot-only conditions.

Linear Parameter-Varying Lean Burn Air-Fuel Ratio Control for a Spark Ignition Engine

2007 ◽  
Vol 129 (4) ◽  
pp. 404-414 ◽  
Author(s):  
Feng Zhang ◽  
Karolos M. Grigoriadis ◽  
Matthew A. Franchek ◽  
Imad H. Makki
Keyword(s):  
Time Delay ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Linear Parameter ◽  
Lean Burn ◽  
Linear Parameter Varying ◽  
Variable Time Delay ◽  
Variable Time ◽  
Fuel Ratio ◽  
Parameter Varying

Maximization of the fuel economy of the lean burn spark ignition (SI) engine strongly depends on precise air-fuel ratio control. A great challenge associated with the air-fuel ratio feedback control is the large variable time delay in the exhaust system. In this paper, a systematic development of an air-fuel ratio controller based on post lean NOx trap (LNT) oxygen sensor feedback using linear parameter-varying (LPV) control is presented. Satisfactory stability and disturbance rejection performance is obtained in the face of the variable time delay. The LPV controller is simplified to an explicit parameterized gain scheduled lead-lag controller form for the ease of implementation. A Ford F-150 truck with a V8 4.6 l lean burn engine was used to demonstrate the LPV air-fuel ratio control design. Both simulation and experimental results demonstrate that the designed controller regulates the tailpipe air-fuel ratio to the preset reference for the full engine operating range.

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