Abstract
This paper presents the performance of system identification for modeling the horizontal flexible plate system using artificial bee colony and recursive least square algorithms. Initially, the experimental rig of flexible plate was designed and fabricated with all edges clamped boundary condition at the horizontal position. Then, the instrumentation and data acquisition systems were integrated into the rig for acquiring the input-output vibration experimentally. The collected data in the experiment will be used later for modeling the dynamic system of horizontal flexible plate system using system identification. The effectiveness of the developed model will be validated using mean squared error, one step ahead prediction, correlation tests and pole zero diagram stability. The estimated of the developed models were found are acceptable and possible to be used as a platform of controller development for vibration suppression of the undesirable vibration in the flexible plate structure. It was found that the artificial bee colony algorithm has performed better in this study by achieving the lowest mean squared error, good correlation test and high stability in the pole zero diagram.
Highlights
The usage of flexible plate structure has been growing faster and widely used in the various engineering applications such as mechanical, automotive, aerospace and marine
The main purpose of this study is to develop a modeling of horizontal flexible plate system using system identification technique via artificial bee colony and recursive least square algorithms based on input-output vibration data acquired experimentally
This paper presented and discussed the dynamic characterization of horizontal flexible plate structure using artificial bee colony and recursive least square algorithms
Summary
The usage of flexible plate structure has been growing faster and widely used in the various engineering applications such as mechanical, automotive, aerospace and marine. A huge attention has been given by the researchers due to solve the vibration problem on the flexible plate structure [3]. A key to design the best controller to suppress the vibration in the system is finding an appropriate model of the flexible structure system. An observed input-output vibration data need to be acquired in order to characterize the dynamic of the system using system identification technique. The main purpose of this study is to develop a modeling of horizontal flexible plate system using system identification technique via artificial bee colony and recursive least square algorithms based on input-output vibration data acquired experimentally. The data acquired in the experiment will be used for modeling the dynamic system of flexible structure using artificial bee colony and recursive least square algorithms. The effectiveness of the developed models will be verified using mean squared error, one step ahead predication, correlation tests and pole zero diagram stability
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