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

摘要

All modern dynamic engineering systems can be characterised as mechatronic systems. The multi-domain nature of a mechatronic system makes it difficult to model using a single modelling technique over the whole system as varying sets of system variables are required. Bond-Graphs offer an advanced object-oriented modelling 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 software such as 20-Sim and Modelica graphically or manipulated mathematically to yield state equations using a simplified set of power and energy variables. The simulation scheme can be augmented to synthesise designs for mechatronic systems using genetic programming as a tool for open-ended search. This research paper presents results of an experiment conducted to verify a unified approach developed by combining Bond-Graph modelling and simulation with genetic programming for automated mechatronic system design. A comprehensive review of various aspects of the physical modelling paradigm along with the concept and development of automated design and the methodology is also included.