DocumentCode :
605197
Title :
PID Controller for Idle Speed Control
Author :
Kamaruddin, T.N.A.T. ; Darus, I.Z.M.
Author_Institution :
Dept. of Mech. Eng., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
fYear :
2013
fDate :
10-12 April 2013
Firstpage :
247
Lastpage :
253
Abstract :
The performance comparison of PID controllers for idle speed control internal combustion engine (ICE) is presented in this paper. There are three methods of PID tuning applied: heuristic tuning, self-tuning by pole placement, and also iterative learning algorithm (ILA). Prior to that, data collection is gained from four cylinder sparkignition engine modeling and used as the input-output data in the system identification part. The obtained transfer function from RLS technique is used in the development of the control system for the idle speed control by PID controllers. The main objective of the idle speed control is to maintain the idling speed at 650rpm and to reject as quickly as possible the extra load exerted on the engine system during idling mode. Comparing the three methods, it shows that PID tuning by ILA produced better results than heuristic tuning and pole placement.
Keywords :
adaptive control; internal combustion engines; iterative methods; learning systems; least squares approximations; pole assignment; self-adjusting systems; spark plugs; three-term control; transfer functions; velocity control; ICE; ILA; PID controller; PID tuning; RLS technique; cylinder spark ignition engine modeling; data collection; engine system; heuristic tuning; idle speed control internal combustion engine; idling mode; idling speed; input-output data; iterative learning algorithm; pole placement; self-tuning; system identification; transfer function; PID controller; heuristic tuning; idle speed control; iterative learning algorithm; pole placement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4673-6421-8
Type :
conf
DOI :
10.1109/UKSim.2013.138
Filename :
6527423
Link To Document :
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