Diesel Engine Emissions Reduction Using Particle Swarm Optimization

2010 ◽  
Vol 182 (7) ◽  
pp. 879-903 ◽  
Author(s):  
Prashanth K. Karra ◽  
Song-Charng Kong
Keyword(s):  
Particle Swarm Optimization ◽  
Diesel Engine ◽  
Particle Swarm ◽  
Emissions Reduction ◽  
Engine Emissions ◽  
Swarm Optimization ◽  
Diesel Engine Emissions

scholarly journals The Optimization of Marine Diesel Engine Rotational Speed Control Process by Fuzzy Logic Control Based on Particle Swarm Optimization Algorithm

2018 ◽  
Vol 10 (10) ◽  
pp. 99 ◽  
Author(s):  
Tien Tran
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Diesel Engine ◽  
Fuzzy Logic Control ◽  
Engine Speed ◽  
Fuzzy Logic Controller ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Logic Control

The marine main diesel engine rotational speed automatic control plays a significant role in determining the optimal main diesel engine speed under impacting on navigation environment conditions. In this article, the application of fuzzy logic control theory for main diesel engine speed control has been associated with Particle Swarm Optimization (PSO). Firstly, the controller is designed according to fuzzy logic control theory. Secondly, the fuzzy logic controller will be optimized by Particle Swarm Optimization (PSO) in order to obtain the optimal adjustment of the membership functions only. Finally, the fuzzy logic controller has been completely innovated by Particle Swarm Optimization algorithm. The study results will be represented under digital simulation form, as well as comparison between traditional fuzzy logic controller with fuzzy logic control–particle swarm optimization speed controller being obtained.

Diesel Engine performance improvement in a 1-D engine model using Particle Swarm Optimization

2015 ◽  
Vol 4 (4) ◽  
Author(s):  
Prashanth Karra
Keyword(s):  
Particle Swarm Optimization ◽  
Diesel Engine ◽  
Particle Swarm ◽  
Merit Function ◽  
Operating Conditions ◽  
Pilot Injection ◽  
Swarm Optimization ◽  
Operating Condition ◽  
Engine Model ◽  
Pilot Fuel

AbstractA particle swarm optimization (PSO) technique was implemented to improve the engine development and optimization process to simultaneously reduce emissions and improve the fuel efficiency. The optimization was performed on a 4-stroke 4-cylinder GT-Power based 1-D diesel engine model. To achieve the multi-objective optimization, a merit function was defined which included the parameters to be optimized: Nitrogen Oxides (NOx), Nonmethyl hydro carbons (NMHC), Carbon Monoxide (CO), Brake Specific Fuel Consumption (BSFC). EPA Tier 3 emissions standards for non-road diesel engines between 37 and 75 kW of output were chosen as targets for the optimization. The combustion parameters analyzed in this study include: Start of main Injection, Start of Pilot Injection, Pilot fuel quantity, Swirl, and Tumble. The PSO was found to be very effective in quickly arriving at a solution that met the target criteria as defined in the merit function. The optimization took around 40-50 runs to find the most favourable engine operating condition under the constraints specified in the optimization. In a favourable case with a high merit function values, the NOx+NMHC and CO values were reduced to as low as 2.9 and 0.014 g/kWh, respectively. The operating conditions at this point were: 10 ATDC Main SOI, -25 ATDC Pilot SOI, 0.25 mg of pilot fuel, 0.45 Swirl and 0.85 tumble. These results indicate that late main injections preceded by a close, small pilot injection are most favourable conditions at the operating condition tested.

scholarly journals Intelligent transient calibration of a dual-loop EGR diesel engine using chaos-enhanced accelerated particle swarm optimization algorithm

2018 ◽  
Vol 233 (7) ◽  
pp. 1698-1711 ◽  
Author(s):  
Yunfan Zhang ◽  
Quan Zhou ◽  
Ziyang Li ◽  
Ji Li ◽  
Hongming Xu
Keyword(s):  
Particle Swarm Optimization ◽  
Diesel Engine ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Engine Performance ◽  
Swarm Optimization ◽  
Calibration Methods ◽  
Accelerated Particle Swarm Optimization ◽  
Transient Calibration

This article proposes an intelligent transient calibration method for the air-path controller of a light-duty diesel engine. This method is developed based on the chaos-enhanced accelerated particle swarm optimization algorithm. The target is to reduce the engine’s fuel consumption during transient scenarios by optimizing the controller parameters. The advanced dual-loop exhaust gas recirculation system is first introduced. Then, it formulates the transient calibration process as a multiple-objective optimization problem with constraints. Different from steady state calibration, the proposed method designs a new cost-function to evaluate the controller’s transient performance. The intelligent transient calibration module is programmed in MATLAB code. Interface between the calibration module and a physical engine plant is established via ETAS INCA. The optimization result of the proposal method is discussed by comparing it with the result of existing calibration methods. The engine performance with the calibrated controller is evaluated based on engine tests.

scholarly journals Parametric Optimization of Regenerative Organic Rankine Cycle System for Diesel Engine Based on Particle Swarm Optimization

Energies ◽  
2015 ◽  
Vol 8 (9) ◽  
pp. 9751-9776 ◽  
Author(s):  
Hongjin Wang ◽  
Hongguang Zhang ◽  
Fubin Yang ◽  
Songsong Song ◽  
Ying Chang ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Diesel Engine ◽  
Parametric Optimization ◽  
Particle Swarm ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Swarm Optimization ◽  
Cycle System
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