NDLI: Behavioral analysis and multi-criteria optimization of active dynamic systems based on genetic algorithms and bond-graphs

Content Provider	IEEE Xplore Digital Library
Author	Elhoucine, A. Miled, F.
Copyright Year	2012
Description	Author affiliation: National of Shool of engeneering of Monastir, Monastir, Tunisia (Elhoucine, A.; Miled, F.)
Abstract	The aim of this work is to propose a methodology of sizing in a frame of the conception of mechatronic systems in particular and active dynamic ones, in general. This methodology will support conceptual design step [1]. We propose a collaborative design approach based on Bond Graph tool and Genetic algorithms. Mechatronic systems have a passive part and active part. In our approach we establish a hard interaction between passive and active parts. This interaction will be materialized in taking into account of control criteria in the evolution (synthesis) phase of passive part. This initiative treats functional aspects, both structural and behavioral; while respecting interactions between passive and active parts. In our approach we treat functional, structural and behavioral aspects in order to validate a post-project solution. Optimization needs Behavioral models which are systematically deducted from bond-graph structural models. Thus, retained bond graph elements which constitute passive part will be obtained, done by optimization Genetic Algorithms procedure. In this procedure Gramians of controllability and of observability represent the fitness function. The proposed method will be applied to an automatic transmission of a scooter and validated by a dynamic simulation.
Starting Page	753
Ending Page	759
File Size	510307
Page Count	7
File Format	PDF
ISBN	9781467307826
ISSN	21588473
e-ISBN	9781467307840
DOI	10.1109/MELCON.2012.6196540
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Optimization Controllability Motorcycles Genetic algorithms Observability Load modeling
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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