The presented control scheme utilizes adaptive fuzzy logic to track a reference engine rotational speed during engine idling. The idle speed system is described and the non-linearity of the system and the presence of a variable time delay highlighted. To evaluate the performance of the controller a model of the system is developed and simulation results presented. Engine test results are also presented and compared with simulation results. It is shown that the Wang adaptive fuzzy logic algorithm is incapable of controlling systems with large time delays. This problem is solved in simulation using the Wang adaptive fuzzy logic algorithm in conjunction with the Smith prediction.
JurgenR.Automotive Electronics Handbook, 1995 (McGraw-Hill, New York).
2.
HrovatD.SunJ.Models and control methodologies for IC engine idle speed control design. In Proceedings of the IFAC 13th Triennial World Congress, San Francisco, California, 1996, paper 8b-07 6.
3.
GorinevskyD.FeldkampL. A.RBF network feedforward compensation of load disturbance in idle speed control. IEEE Control Systems, December 1996,18–27.
4.
HrovatD.BodenheiroerB.Robust automotive idle speed control design based on μ-synthesis. In Proceedings of the American Control Conference, San Francisco, California, 1993, Vol. 2, pp. 1178–1183.
5.
CårnevaleC.MoschettiA.Idle speed control with Hinfinity technique. SAE paper 930770, 1993.
6.
AbateM.DosioN.Use of fuzzy logic for engine idle speed control. SAE paper 900594, 1990.
7.
ThornhillM.Idle speed control of spark ignited engines. PhD thesis, The Queen's University of Belfast, 1998.
8.
WangL.Adaptive Fuzzy Systems and Control, Design and Stability Analysis, 1994 (Prentice-Hall, Englewood Cliffs, New Jersey).
9.
ProcykT. J.MamdaniE. H.A linguistic self-organising controller. Automatica, 1979, 15, 15–30.
10.
LeeC. C.A self-learning rule based controller employing approximate reasoning and neural net concepts. Int. J. Intelligent Systems, 1991, 6, 71–93.
11.
AbateM.DiNunzioV.Idle speed control using optimal regulation. SAE paper 905008, 1990.
12.
WashinoS.NishiyamaR.OhkuboS.A fundamental study for the control of periodic oscillation of SI engine revolutions. SAE paper 860411, 1986.
13.
NishimuraY.IshiiK.Engine idle stability analysis and control. SAE paper 860415, 1986.
14.
Simulink Users’ Guide, for Use with Matlab, 1993 (MathWorks Inc.).
15.
SmithO. J. M.Feedback Control Systems, 1958 (McGraw-Hill, New York).
16.
DuttonK.ThompsonS.BarracloughB.The Art of Control Engineering, 1997 (Addison-Wesley, Reading, Massachusetts).
17.
O'ReillyP.LightbodyG.IrwinG. W.KellyK.McCormickJ. Online neural inferential prediction of viscosity. In Pre-prints of the IFAC World Congress, San Francisco, California, July 1996, Vol. O, pp. 405–410.
18.
WidrowB.WallachE.Adaptive Inverse Control, 1996 (Prentice-Hall, Englewood Cliffs, New Jersey).
