(1) PAPER TITLES

[1] Combining Bond-Graphs with Genetic Programming for Unified/Automated Design of Mechatronic or Multi Domain Dynamic Systems
[2] Bond-Graphs + Genetic Programming: Analysis of an Automatically Synthesized Rotary Mechanical System (in press, GECCO-08)

(2) AUTHORS

Saheeb Ahmed Kayani
Department of Mechanical Engineering,
College of Electrical and Mechanical Engineering,
National University of Sciences and Technology,
Rawalpindi-46000, Pakistan
saheebk@hotmail.com
+92-51-5508787

Muhammad Afzaal Malik
Department of Mechanical Engineering,
College of Electrical and Mechanical Engineering,
National University of Sciences and Technology,
Rawalpindi-46000, Pakistan
mafzmlk@ceme.edu.pk
+92-51-5508787

(3) CORRESPONDING AUTHOR

Saheeb Ahmed Kayani

(4) ABSTRACTS

Paper [1]: Combining Bond-Graphs with Genetic Programming for Unified/Automated Design of Mechatronic or Multi Domain Dynamic Systems

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 are required. Bond-Graphs offer an advanced object oriented and polymorphic modeling and simulation technique. Bond-Graph model of the mechatronic system can be directly simulated on a digital computer using simulation softwares like 20-Sim© graphically or manipulated mathematically to yield state equations using a simplified set of power and energy variables. The simulation scheme can be augmented to synthesize designs for mechatronic systems employing genetic programming as a tool for open ended search. This research paper presents results of an experiment developed to combine Bond-Graphs with genetic programming for unified and automated design of mechatronic or multi domain dynamic systems.

Paper [2]: Bond-Graphs + Genetic Programming: Analysis of an Automatically Synthesized Rotary Mechanical System

Initial results of an experiment devised to combine Bond-Graph modeling and simulation with genetic programming for automated design of a simple mechatronic system are reported in paper [1]. Two target eigen values are specified on complex plane and a Bond-Graph model is evolved through automated design scheme outlined in paper [1]. As a further development this research paper presents physical design realization based on the evolved Bond-Graph model. The physical design realization yields a second order open loop system. It is analyzed from a control systems stand point to determine system’s dynamic characteristics. The dynamic analysis shows that damping ratio is 0.591 so we observe underdamped transient response typical of a system with complex conjugate poles.

(5) CRITERIA

(D), (H)

(6) STATEMENT ON WHY THESE CRITERIA ARE SATISFIED

Two target eigen values are specified and a Bond-Graph model of a simple physical system is evolved whose characteristic equation on solving for roots yields these two eigen values as poles of the said system.
Physical design realization is carried out to develop a second order, open loop rotary mechanical interpretation of the open ended evolutionary design created by the genetic programming based synthesis. The physical system’s behavior (response to a unit step input) is analyzed from a control systems perspective and turns out to be typical of this type of system configurations.
The results are publishable as new scientific results and also they can out perform output of human contestants in any regulated competition.

(7) CITATIONS

[1] Saheeb Ahmed Kayani, Muhammad Afzaal Malik: Combining Bond-Graphs with Genetic Programming for Unified/Automated Design of Mechatronic or Multi Domain Dynamic Systems, Late Breaking Paper in Proceedings of Genetic and Evolutionary Computation Conference, pp. 2515-2518, London, July 7-11, 2007.

[2] Saheeb Ahmed Kayani, Muhammad Afzaal Malik: Bond-Graphs + Genetic Programming: Analysis of an Automatically Synthesized Rotary Mechanical System (Late Breaking Paper, GECCO-08)

(8) STATEMENT ON PRIZE MONEY

Prize money, if any, is to be equally distributed among co-authors

(9) STATEMENT ON WHY THIS ENTRY IS THE BEST

This entry presents results of simulated experiments in which Bond-Graph modeling has been combined with genetic programming for open ended automated design of multi energy domain dynamic or mechatronic systems. Poles (eigen values) of a physical system have been identified on complex plane and a start up design is provided to the synthesis tool. The topology of the system is evolved and each generated design is tested against the fitness criterion until it is satisfied. The automatically synthesized Bond-Graph model is intuitively converted into physical representation of a simple mechatronic system. This physical design realization yields a second order open loop system which is analyzed from control systems point of view to determine system stability. The analysis reveals that system behavior is typical of this type of system configurations. The synthesis and detailed analysis confirms that a stable/controllable physical system can be evolved through this open ended design paradigm bringing together Bond-Graphs for system representation and genetic programming for search and synthesis of system topologies.




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