Title | ||
---|---|---|
Enhanced model and fuzzy strategy of air to fuel ratio control for spark ignition engines |
Abstract | ||
---|---|---|
Various mathematical models for the air to fuel ratio and control for spark ignition (SI) engines have been proposed to satisfy technical specifications. This paper reveals an improvement of the mean value model (MVEM) and a simple yet effective nonlinear control to enhance the air to fuel regulator. The regulator is designed by using a discrete fuzzy PI algorithm, which provides easy tuning, robustness, and rapid development with a simple architecture. Effects on the dead time, exhausted delay, time-varying air flow and chaotic disturbance are also included. The computer simulation results show satisfactory performance based on standard evaluation criteria. The proposed model has a great potential for practical implementations. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1016/j.camwa.2012.01.055 | Computers & Mathematics with Applications |
Keywords | Field | DocType |
computer simulation result,ratio control,spark ignition engine,discrete fuzzy pi algorithm,chaotic disturbance,enhanced model,time-varying air flow,mean value model,effective nonlinear control,simple architecture,fuzzy strategy,dead time,various mathematical model,nonlinear control,fuzzy control | Ignition system,Dead time,Spark (mathematics),Nonlinear control,Control theory,Fuzzy logic,Robustness (computer science),Fuzzy control system,Air–fuel ratio,Mathematics | Journal |
Volume | Issue | ISSN |
64 | 5 | 0898-1221 |
Citations | PageRank | References |
4 | 0.43 | 5 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Anurak Jansri | 1 | 6 | 1.53 |
Pitikhate Sooraksa | 2 | 20 | 6.81 |