DocumentCode
2640830
Title
Multi-domain physical system modeling and control based on meta-modeling and graph rewriting
Author
Sen, Sagar ; Vangheluwe, Hans
Author_Institution
School of Computer Science McGill University, 3480 University Street, Montreal, Canada H3A2A7
fYear
2006
fDate
4-6 Oct. 2006
Firstpage
69
Lastpage
75
Abstract
A methodology is presented which enables the specification and synthesis of software tools to aid in plant and controller modeling for multi-domain (electrical, mechanical, hydraulic, and thermal) physical systems. The methodology is based on meta-modeling and graph rewriting. The plant is modeled in a domain-specific formalism called the Real World Visual Model (RWVM). Such a model is successively transformed to an Idealized Physical Model (IPM), to an Acausal Bond Graph (ABG), and finally to a Causal Bond Graph (CBG). A Modelica (www.modelica.org) model, consisting of a Causal (algebraic and differential equation) Block Diagram (CBD), is generated from the CBG. All transformations are explicitly modeled using Graph Grammars. A PID controller model, specified in Modelica as a CBD is subsequently integrated with the plant model. AToM3 (atom3.cs.mcgill.ca), A Tool for Multi-formalism and Meta Modeling is used to meta-model and synthesize visual modeling environments for the RWVM, IPM, ABG, and CBG formalisms as well as for transformations between them. The entire process of modeling, transformation, and simulation is demonstrated by means of a hoisting device example. Our methodology drastically reduces development time (of the modeling tool an indirectly of the domain-specific models), integrates model checking via Bond Graph causal analysis, and facilitates management and reuse of meta-knowledge by explicitly modeling formalisms and transformations.
Keywords
Bonding; Computer science; Control system synthesis; Differential equations; Mathematical model; Metamodeling; Object oriented modeling; Physics computing; Software tools; Unified modeling language;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location
Munich, Germany
Print_ISBN
0-7803-9797-5
Electronic_ISBN
0-7803-9797-5
Type
conf
DOI
10.1109/CACSD-CCA-ISIC.2006.4776626
Filename
4776626
Link To Document