Swarm Optimization Applied to Engine RPM Control

Rogers, Sue; Birge, Brian

doi:10.4271/2004-01-2669

Cited by 1 publication

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to further improve the convergence speed of the algorithm, accelerated particle swam optimization (APSO) is created. The evidence shows that the APSO algorithm outperforms the PSO algorithm on multiple objective optimization issues [20] [23]. However, these PSO-based algorithms may occasionally trap the particles in the local optimal position instead of a global optimal position.…”

Section: Introductionmentioning

confidence: 99%

“…15 Therefore, it is widely used in controller intelligent calibration cases. [16][17][18][19][20][21] In order to further improve the convergence speed of the algorithm, accelerated particle swam optimization (APSO) is created. The evidence shows that the APSO algorithm outperforms the particle swam optimization (PSO) algorithm on multiple objective optimization issues.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Zhang

Zhou

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

This paper 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 (CAPSO) algorithm. The target is to reduce the engine's fuel consumption during transient scenarios by optimizing the controller parameters. The advanced dual-loop EGR system is firstly 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.

show abstract

Section: Introductionmentioning

confidence: 99%