Search for human competitive results in open ended automated synthesis of a primordial mechatronic system

  • Authors:
  • Saheeb Ahmed Kayani

  • Affiliations:
  • National University of Sciences and Technology, Rawalpindi, Pakistan

  • Venue:
  • Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

The multi domain nature of a mechatronic system makes it difficult to model using a single modeling technique over the whole system as varying sets of system variables specific to each energy domain are required. Bond-Graphs offer an advanced object oriented modeling and simulation technique. They are domain independent allowing straight forward and efficient model composition, classification and analysis. Bond-Graph model of the mechatronic system can be directly simulated on a digital computer using simulation softwares like 20-Sim© and Modelica© graphically or manipulated mathematically to develop state-space representation using a simplified set of power and energy variables. The simulation scheme can be augmented to synthesize designs for mechatronic systems using genetic programming as a tool for open ended topology or functional design search. This research paper presents results of an experiment developed to combine Bond-Graphs with genetic programming for unified and automated design/synthesis of a simple/primordial multi domain dynamic or mechatronic system.