MCMAC–CVT: a novel on-line associative memory based CVT transmission control system

This paper describes a novel application of an associative memory called the Modified Cerebellar Articulation Controller (MCMAC) (Int. J. Artif. Intell. Engng, 10 (1996) 135) in a continuous variable transmission (CVT) control system. It allows the on-line tuning of the associative memory and produc...

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Main Authors:	Kai, Keng Ang, Quek, Chai, Abdul Rahman, Abdul Wahab
Format:	Article
Language:	English
Published:	Elsevier Science Ltd. 2002
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/38200/ http://irep.iium.edu.my/38200/ http://irep.iium.edu.my/38200/ http://irep.iium.edu.my/38200/1/MCMAC%E2%80%93CVT_a_novel_on-line_associative_memory_based_CVT_transmission_control_system.pdf

id	iium-38200
recordtype	eprints
spelling	iium-382002014-09-12T01:50:57Z http://irep.iium.edu.my/38200/ MCMAC–CVT: a novel on-line associative memory based CVT transmission control system Kai, Keng Ang Quek, Chai Abdul Rahman, Abdul Wahab T Technology (General) This paper describes a novel application of an associative memory called the Modified Cerebellar Articulation Controller (MCMAC) (Int. J. Artif. Intell. Engng, 10 (1996) 135) in a continuous variable transmission (CVT) control system. It allows the on-line tuning of the associative memory and produces an effective gain-schedule for the automatic selection of the CVT gear ratio. Various control algorithms are investigated to control the CVT gear ratio to maintain the engine speed within a narrow range of efficient operating speed independently of the vehicle velocity. Extensive simulation results are presented to evaluate the control performance of a direct digital PID control algorithm with auto-tuning (Trans. ASME, 64 (1942)) and anti-windup mechanism. In particular, these results are contrasted against the control performance produced using the MCMAC (Int. J. Artif. Intell. Engng, 10 (1996) 135) with momentum, neighborhood learning and Averaged Trapezoidal Output (MCMAC-ATO) as the neural control algorithm for controlling the CVT. Simulation results are presented that show the reduced control fluctuations and improved learning capability of the MCMAC-ATO without incurring greater memory requirement. In particular, MCMAC-ATO is able to learn and control the CVT simultaneously while still maintaining acceptable control performance. Elsevier Science Ltd. 2002-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/38200/1/MCMAC%E2%80%93CVT_a_novel_on-line_associative_memory_based_CVT_transmission_control_system.pdf Kai, Keng Ang and Quek, Chai and Abdul Rahman, Abdul Wahab (2002) MCMAC–CVT: a novel on-line associative memory based CVT transmission control system. Neural Networks, 15 (2). pp. 219-236. ISSN 0893-6080 http://www.sciencedirect.com/science/article/pii/S0893608001001435 10.1016/S0893-6080(01)00143-5
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Kai, Keng Ang Quek, Chai Abdul Rahman, Abdul Wahab MCMAC–CVT: a novel on-line associative memory based CVT transmission control system
description	This paper describes a novel application of an associative memory called the Modified Cerebellar Articulation Controller (MCMAC) (Int. J. Artif. Intell. Engng, 10 (1996) 135) in a continuous variable transmission (CVT) control system. It allows the on-line tuning of the associative memory and produces an effective gain-schedule for the automatic selection of the CVT gear ratio. Various control algorithms are investigated to control the CVT gear ratio to maintain the engine speed within a narrow range of efficient operating speed independently of the vehicle velocity. Extensive simulation results are presented to evaluate the control performance of a direct digital PID control algorithm with auto-tuning (Trans. ASME, 64 (1942)) and anti-windup mechanism. In particular, these results are contrasted against the control performance produced using the MCMAC (Int. J. Artif. Intell. Engng, 10 (1996) 135) with momentum, neighborhood learning and Averaged Trapezoidal Output (MCMAC-ATO) as the neural control algorithm for controlling the CVT. Simulation results are presented that show the reduced control fluctuations and improved learning capability of the MCMAC-ATO without incurring greater memory requirement. In particular, MCMAC-ATO is able to learn and control the CVT simultaneously while still maintaining acceptable control performance.
format	Article
author	Kai, Keng Ang Quek, Chai Abdul Rahman, Abdul Wahab
author_facet	Kai, Keng Ang Quek, Chai Abdul Rahman, Abdul Wahab
author_sort	Kai, Keng Ang
title	MCMAC–CVT: a novel on-line associative memory based CVT transmission control system
title_short	MCMAC–CVT: a novel on-line associative memory based CVT transmission control system
title_full	MCMAC–CVT: a novel on-line associative memory based CVT transmission control system
title_fullStr	MCMAC–CVT: a novel on-line associative memory based CVT transmission control system
title_full_unstemmed	MCMAC–CVT: a novel on-line associative memory based CVT transmission control system
title_sort	mcmac–cvt: a novel on-line associative memory based cvt transmission control system
publisher	Elsevier Science Ltd.
publishDate	2002
url	http://irep.iium.edu.my/38200/ http://irep.iium.edu.my/38200/ http://irep.iium.edu.my/38200/ http://irep.iium.edu.my/38200/1/MCMAC%E2%80%93CVT_a_novel_on-line_associative_memory_based_CVT_transmission_control_system.pdf
first_indexed	2023-09-18T20:54:51Z
last_indexed	2023-09-18T20:54:51Z
_version_	1777410235710832640

MCMAC–CVT: a novel on-line associative memory based CVT transmission control system

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