A Hybrid Fuzzy Logic – PLC-Based Controller for Earthquake Simulator System
Renann G. Baldovino and Elmer P. Dadios
De La Salle University
2401 Taft Avenue, 0922 Manila, Philippines
This paper presents an intelligent motor speed controller for an earthquake simulator using fuzzy logic algorithm developed inside a programmable logic controller environment. The desired motor speed is obtained using two fuzzy inputs namely, the process error and the rate of process error. These fuzzy inputs are feedback data from the motor drive. Different earthquake intensities were used to test the controller’s performance in real time undergoing different load variations. Experiment results showed that the developed controller is accurate, reliable and robust.
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