Mat Darus, Intan Zaurah and Mailah, Musa and Tavakolpour, Ali Reza (2010) Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system. Engineering Application of Artificial Intelligence, 23 (8). 1388 - 1397. ISSN 0952-1976
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Official URL: http://dx.doi.org/10.1016/j.engappai.2010.01.005
This paper focuses on an identification technique based on geneticalgorithms (GAs) with application to rectangularflexibleplatesystems for active vibration control. A real coded GA with a new truncation-based selection strategy of individuals is developed, to allow fast convergence to the global optimum. A simulation environment characterizing the dynamic behavior of aflexiblerectangularplatesystem is developed using the central finite difference (FD) techniques. The plate thus developed is excited by a uniformly distributed random disturbance and the input–output data of the system acquired is used for black-box modeling the system with the GA optimization using an autoregressive model structure. Model validity tests based on statistical measures and output prediction are carried out. The prediction capability of the model is further examined with unseen data. It is demonstrated that the GA gives faster convergence to an optimum solution and the model obtained characterizes the dynamic system behavior of the system well.
|Uncontrolled Keywords:||geneticalgorithm, flexibleplate, identification|
|Subjects:||T Technology > TJ Mechanical engineering and machinery|
|Deposited By:||Liza Porijo|
|Deposited On:||28 Jun 2012 00:52|
|Last Modified:||08 Feb 2017 06:41|
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