Model reference adaptive control with adaptive parametric black box controller

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Main Authors:	Nasim, Ahmed, Mohd Yusoff, Mashor, Prof. Dr., Abdul Hamid, Adom, Prof. Madya Dr.
Other Authors:	nasim751@yahoo.com
Format:	Working Paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:	Adaptive control Control systems Error correction Feedback loop Least squares methods Parameter estimation Programmable control Recursive estimation
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/18746
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-18746
record_format	dspace
spelling	my.unimap-187462012-04-10T07:37:34Z Model reference adaptive control with adaptive parametric black box controller Nasim, Ahmed Mohd Yusoff, Mashor, Prof. Dr. Abdul Hamid, Adom, Prof. Madya Dr. nasim751@yahoo.com Adaptive control Control systems Error correction Feedback loop Least squares methods Parameter estimation Programmable control Recursive estimation Link to publisher's homepage at http://www.ieee.org/ In this paper,a method for adapting conventional controller are used to adapt an Adaptive Parametric Black Box Controller (APBB). The APBB controller will be adapted such that the plant should follow a desired trajectory which is given by a reference model. The parameters of APBB controller are estimated by using recursive least square method. The estimation goal is for the parameters to converge to ideal values that cause the plant response to match the response of the reference model. The output of the system is compared to a desired response from a reference model. The control parameters are update based on this error. Simulation results discover that APBB controller is adequate to control both linear dependent and independent structure with unpredictable conditions and disturbances. 2012-04-10T07:37:34Z 2012-04-10T07:37:34Z 2008-12-01 Working Paper 978-1-4244-2315-6 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4786738 http://hdl.handle.net/123456789/18746 en Proceedings of the International Conference on Electronic Design (ICED) 2008 Institute of Electrical and Electronics Engineers (IEEE)
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Adaptive control Control systems Error correction Feedback loop Least squares methods Parameter estimation Programmable control Recursive estimation
spellingShingle	Adaptive control Control systems Error correction Feedback loop Least squares methods Parameter estimation Programmable control Recursive estimation Nasim, Ahmed Mohd Yusoff, Mashor, Prof. Dr. Abdul Hamid, Adom, Prof. Madya Dr. Model reference adaptive control with adaptive parametric black box controller
description	Link to publisher's homepage at http://www.ieee.org/
author2	nasim751@yahoo.com
author_facet	nasim751@yahoo.com Nasim, Ahmed Mohd Yusoff, Mashor, Prof. Dr. Abdul Hamid, Adom, Prof. Madya Dr.
format	Working Paper
author	Nasim, Ahmed Mohd Yusoff, Mashor, Prof. Dr. Abdul Hamid, Adom, Prof. Madya Dr.
author_sort	Nasim, Ahmed
title	Model reference adaptive control with adaptive parametric black box controller
title_short	Model reference adaptive control with adaptive parametric black box controller
title_full	Model reference adaptive control with adaptive parametric black box controller
title_fullStr	Model reference adaptive control with adaptive parametric black box controller
title_full_unstemmed	Model reference adaptive control with adaptive parametric black box controller
title_sort	model reference adaptive control with adaptive parametric black box controller
publisher	Institute of Electrical and Electronics Engineers (IEEE)
publishDate	2012
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/18746
_version_	1643792517364187136

Model reference adaptive control with adaptive parametric black box controller

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