Verifying experiment for automated design of mechatronic systems using Bond-Graph modelling and simulation and genetic programming

  • Authors:
  • M. Afzaal Malik;Saheeb A. Kayani

  • Affiliations:
  • Department of Mechanical Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Rawalpindi 46000, Pakistan.;Department of Mechanical Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Rawalpindi 46000, Pakistan

  • Venue:
  • International Journal of Computer Applications in Technology
  • Year:
  • 2008

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Abstract

All modern dynamic engineering systems can be characterised asmechatronic systems. The multi-domain nature of a mechatronicsystem makes it difficult to model using a single modellingtechnique over the whole system as varying sets of system variablesare required. Bond-Graphs offer an advanced object-orientedmodelling and simulation technique. They are domain independentallowing straight forward and efficient model composition,classification and analysis. Bond-Graph model of the mechatronicsystem can be directly simulated on a digital computer usingsimulation software such as 20-Sim© and Modelica©graphically or manipulated mathematically to yield state equationsusing a simplified set of power and energy variables. Thesimulation scheme can be augmented to synthesise designs formechatronic systems using genetic programming as a tool foropen-ended search. This research paper presents results of anexperiment conducted to verify a unified approach developed bycombining Bond-Graph modelling and simulation with geneticprogramming for automated mechatronic system design. Acomprehensive review of various aspects of the physical modellingparadigm along with the concept and development of automated designand the methodology is also included.