DocumentCode :
924994
Title :
Modeling, Identification, Design, and Implementation of Nonlinear Automotive Idle Speed Control Systems—An Overview
Author :
Ye, Zhengmao
Author_Institution :
Southern Univ., Baton Rouge
Volume :
37
Issue :
6
fYear :
2007
Firstpage :
1137
Lastpage :
1151
Abstract :
Automotive idle speed control (ISC) is one of the most challenging aspects in engine control fields. Essentially it is a highly nonlinear, time-varying, complicated, and uncertain dynamic control problem. As the typical automotive transient operation, the quality of the ISC has a significant impact on fuel economy, emission levels (HC, CO, and NOx), combustion stability, transient response, and noise, vibration, and harshness characteristics. This paper presents a thorough review of various dynamic control technologies which have been successfully applied to ISC systems. In particular, practical implementations on a variety of different engine types are provided, which cover broad areas of control, including classical control, modern control, and intelligent control. Over 90 selected papers published during the last two decades are reviewed and then summarized from a control point of view. These control approaches can be generalized to the control of other automotive, electrical, mechanical, and aeronautical systems.
Keywords :
angular velocity control; automotive components; intelligent control; internal combustion engines; multivariable control systems; nonlinear control systems; nonlinear dynamical systems; classical control; combustion stability; complicated control problem; emission level; engine control field; fuel economy; intelligent control; modern control; multivariable control systems; nonlinear automotive idle speed control system; time-varying control problem; transient response; uncertain dynamic control problem; Aerodynamics; Automotive engineering; Combustion; Control systems; Engines; Fuel economy; Stability; Transient response; Vehicle dynamics; Velocity control; Adaptive control; artificial intelligence; fuzzy control; intelligent control; internal combustion engines; neural networks; nonlinear systems; optimal control;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
Publisher :
ieee
ISSN :
1094-6977
Type :
jour
DOI :
10.1109/TSMCC.2007.905810
Filename :
4344002
Link To Document :
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