A novel hybrid artificial intelligence technique for colpitts oscillator design

In the design of the common base Colpitts oscillator, the resistance values of Thevenin’s resistors significantly influenced the transient time and steady state response of the resulting circuit. Various traditional approaches such as intuitive reasoning, mathematical calculation, and simulation-ba...

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Main Authors:	Ghazali , Mohamad, Amsa, B Ameer, Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka
Format:	Article
Language:	English
Published:	Springer 2014
Subjects:	QC Physics
Online Access:	http://irep.iium.edu.my/39475/ http://irep.iium.edu.my/39475/ http://irep.iium.edu.my/39475/ http://irep.iium.edu.my/39475/1/amsa2014.pdf

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recordtype	eprints
spelling	iium-394752018-06-20T05:09:41Z http://irep.iium.edu.my/39475/ A novel hybrid artificial intelligence technique for colpitts oscillator design Ghazali , Mohamad Amsa, B Ameer Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka QC Physics In the design of the common base Colpitts oscillator, the resistance values of Thevenin’s resistors significantly influenced the transient time and steady state response of the resulting circuit. Various traditional approaches such as intuitive reasoning, mathematical calculation, and simulation-based techniques have been proposed in the literature for this purpose. Some of the aforementioned techniques involve rigorous mathematics, intuition, and experimentation in determining appropriate component values for optimal performance, stable steady state performance, and short transient response time from the resulting oscillator. In this paper, a new method of designing Colpitts oscillator using hybrid artificial intelligence comprising evolutionary-based Genetic Algorithm (GA) and artificial neural network (ANN) has been proposed. GA has been used in selecting various optimum resistance values of Thevenin’s resistors for maximizing long-term stability of the outputwaveform thus ensuring stable steady response of the designed circuit. ANN has been utilized in learning the nonlinear relationship between Thevenin’s resistors and transient time response of the Colpitts oscillator. Upon ANN convergence, optimum resistance values of obtained from GA process are fed into the trained ANN in predicting transient response time of each circuit. Optimized values with the shortest transient response time are finally selected for the Colpitts oscillator. The designed circuit successfully achieved optimization between its transient time response and steady state response. Hence, successfully reducing computation associated with existing traditional techniques in designing similar optimum Colpitts oscillator and achieving stable steady state output. Furthermore, this work has also demonstrated that ANN is capable of predicting the transient time of circuit with reasonable accuracy. Springer 2014-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/39475/1/amsa2014.pdf Ghazali , Mohamad and Amsa, B Ameer and Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka (2014) A novel hybrid artificial intelligence technique for colpitts oscillator design. Journal of Control, Automation and Electrical Systems , 25. pp. 10-21. ISSN 2195-3899 http://www.springer.com/engineering/electronics/journal/40313 10.1007/s40313-013-0084-4
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QC Physics
spellingShingle	QC Physics Ghazali , Mohamad Amsa, B Ameer Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka A novel hybrid artificial intelligence technique for colpitts oscillator design
description	In the design of the common base Colpitts oscillator, the resistance values of Thevenin’s resistors significantly influenced the transient time and steady state response of the resulting circuit. Various traditional approaches such as intuitive reasoning, mathematical calculation, and simulation-based techniques have been proposed in the literature for this purpose. Some of the aforementioned techniques involve rigorous mathematics, intuition, and experimentation in determining appropriate component values for optimal performance, stable steady state performance, and short transient response time from the resulting oscillator. In this paper, a new method of designing Colpitts oscillator using hybrid artificial intelligence comprising evolutionary-based Genetic Algorithm (GA) and artificial neural network (ANN) has been proposed. GA has been used in selecting various optimum resistance values of Thevenin’s resistors for maximizing long-term stability of the outputwaveform thus ensuring stable steady response of the designed circuit. ANN has been utilized in learning the nonlinear relationship between Thevenin’s resistors and transient time response of the Colpitts oscillator. Upon ANN convergence, optimum resistance values of obtained from GA process are fed into the trained ANN in predicting transient response time of each circuit. Optimized values with the shortest transient response time are finally selected for the Colpitts oscillator. The designed circuit successfully achieved optimization between its transient time response and steady state response. Hence, successfully reducing computation associated with existing traditional techniques in designing similar optimum Colpitts oscillator and achieving stable steady state output. Furthermore, this work has also demonstrated that ANN is capable of predicting the transient time of circuit with reasonable accuracy.
format	Article
author	Ghazali , Mohamad Amsa, B Ameer Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka
author_facet	Ghazali , Mohamad Amsa, B Ameer Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka
author_sort	Ghazali , Mohamad
title	A novel hybrid artificial intelligence technique for colpitts oscillator design
title_short	A novel hybrid artificial intelligence technique for colpitts oscillator design
title_full	A novel hybrid artificial intelligence technique for colpitts oscillator design
title_fullStr	A novel hybrid artificial intelligence technique for colpitts oscillator design
title_full_unstemmed	A novel hybrid artificial intelligence technique for colpitts oscillator design
title_sort	novel hybrid artificial intelligence technique for colpitts oscillator design
publisher	Springer
publishDate	2014
url	http://irep.iium.edu.my/39475/ http://irep.iium.edu.my/39475/ http://irep.iium.edu.my/39475/ http://irep.iium.edu.my/39475/1/amsa2014.pdf
first_indexed	2023-09-18T20:56:43Z
last_indexed	2023-09-18T20:56:43Z
_version_	1777410352871374848

A novel hybrid artificial intelligence technique for colpitts oscillator design

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