This paper presents an investigation into the utilization of genetic algorithms (GAs) for dynamic modelling and simulation of flexible beam structures. The global search technique of GA is utilised to identify the parameters of a beam model based on one-step-ahead prediction in fixed-free mode; a simple representation of an aircraft wing or robot arm. A pseudo random binary sequence (PRBS) signal is used as the input excitation, covering the dynamic range of interest of the system. The developed model is validated using several validation tests. A comparative performance of the GA model and conventional recursive least squares (RLS) scheme in characterising the system is carried out in the time and frequency domains. Simulation results highlighting the advantages of GA over RLS in linear parametric modelling of flexible structures are given. The developed genetic-modelling approach will further be utilized in the design and implementation of suitable controllers, for vibration suppression in such systems.
Flexible beam system, genetic algorithms, parametric modelling, system identification.
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