scholarly journals Design evolution of engineering systems using bond graphs and genetic programming

Mechatronics ◽  
2016 ◽  
Vol 33 ◽  
pp. 71-83 ◽  
Author(s):  
Buddhika L. Samarakoon ◽  
Lalith B. Gamage ◽  
Clarence W. de Silva
Keyword(s):  
Genetic Programming ◽  
Engineering Systems ◽  
Bond Graphs ◽  
Design Evolution

A System Framework With Online Monitoring and Evaluation for Design Evolution of Engineering Systems

2010 ◽  
Vol 10 (3) ◽  
Author(s):  
L. B. Gamage ◽  
C. W. de Silva
Keyword(s):  
Genetic Programming ◽  
Domain Knowledge ◽  
Design Space ◽  
Graph Model ◽  
Bond Graph ◽  
Design Solution ◽  
Engineering Systems ◽  
Design Evolution ◽  
Bond Graph Modeling ◽  
Machine Health Monitoring

This paper presents a methodology for the design evolution of engineering systems, with a mechatronic emphasis. The developed approach specifically integrates machine health monitoring and an expert system and carries out the design evolution of a multidomain dynamic system using bond graph modeling and genetic programming. The evolution of a bond graph model of a mechatronic system through genetic programming enables the exploration of the design space, thereby generating a global optimum design solution in an automated manner. Domain knowledge and expertise are used to control the design exploration and to restrict it only to a meaningful design space. As an illustrative example, the developed methodology is applied to redesign the electrohydraulic manipulator of an existing industrial fish processing machine.

Some Key Issues in Using Bond Graphs and Genetic Programming for Mechatronic System Design

2001 ◽  
Author(s):  
R. C. Rosenberg ◽  
E. D. Goodman ◽  
Kisung Seo
Keyword(s):  
Genetic Programming ◽  
System Design ◽  
Design Space ◽  
Bond Graph ◽  
Mechatronic System ◽  
Bond Graphs ◽  
Mechatronic Systems ◽  
Energy Behavior ◽  
Key Issues ◽  
Bond Graph Modeling

Abstract Mechatronic system design differs from design of single-domain systems, such as electronic circuits, mechanisms, and fluid power systems, in part because of the need to integrate the several distinct domain characteristics in predicting system behavior. The goal of our work is to develop an automated procedure that can explore mechatronic design space in a topologically open-ended manner, yet still find appropriate configurations efficiently enough to be useful. Our approach combines bond graphs for model representation with genetic programming for generating suitable design candidates as a means of exploring the design space. Bond graphs allow us to capture the common energy behavior underlying the several physical domains of mechatronic systems in a uniform notation. Genetic programming is an effective way to generate design candidates in an open-ended, but statistically structured, manner. Our initial goal is to identify the key issues in merging the bond graph modeling tool with genetic programming for searching. The first design problem we chose is that of finding a model that has a specified set of eigenvalues. The problem can be studied using a restricted set of bond graph elements to represent suitable topologies. We present the initial results of our studies and identify key issues in advancing the approach toward becoming an effective and efficient open-ended design tool for mechatronic systems.

Toward a unified and automated design methodology for multi-domain dynamic systems using bond graphs and genetic programming

Mechatronics ◽  
2003 ◽  
Vol 13 (8-9) ◽  
pp. 851-885 ◽  
Author(s):  
Kisung Seo ◽  
Zhun Fan ◽  
Jianjun Hu ◽  
Erik D. Goodman ◽  
Ronald C. Rosenberg
Keyword(s):  
Genetic Programming ◽  
Dynamic Systems ◽  
Design Methodology ◽  
Automated Design ◽  
Bond Graphs

System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs

2003 ◽  
pp. 2058-2071 ◽  
Author(s):  
Zhun Fan ◽  
Kisung Seo ◽  
Jianjun Hu ◽  
Ronald C. Rosenberg ◽  
Erik D. Goodman
Keyword(s):  
Genetic Programming ◽  
System Level ◽  
Bond Graphs

scholarly journals Automated synthesis of mechanical vibration absorbers using genetic programming

2008 ◽  
Vol 22 (3) ◽  
pp. 207-217 ◽  
Author(s):  
Jianjun Hu ◽  
Erik D. Goodman ◽  
Shaobo Li ◽  
Ronald Rosenberg
Keyword(s):  
Genetic Programming ◽  
Digital Circuits ◽  
Mechanical Vibration ◽  
Automated Design ◽  
Design System ◽  
Vibration Absorbers ◽  
Bond Graphs ◽  
Conceptual Innovation ◽  
Design Systems ◽  
Better Than

AbstractConceptual innovation in mechanical engineering design has been extremely challenging compared to the wide applications of automated design systems in digital circuits. This paper presents an automated methodology for open-ended synthesis of mechanical vibration absorbers based on genetic programming and bond graphs. It is shown that our automated design system can automatically evolve passive vibration absorbers that have performance equal to or better than the standard passive vibration absorbers invented in 1911. A variety of other vibration absorbers with competitive performance are also evolved automatically using a desktop PC in less than 10 h.

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