Adaptive fuzzy neural network control for motor-toggle servomechanism

R. J. Wai, C. H. Lin, F. J. Lin

Research output: Contribution to journalArticlepeer-review


In this study, the dynamic responses of an adaptive fuzzy neural network (FNN) controlled toggle mechanism is described. The toggle mechanism is driven by a permanent magnet (PM) synchronous servo motor. First, based on the principle of computed torque, an adaptive controller is developed to control the position of a slider of the motor-toggle servomechanism. Since the selection of control gain of the adaptive controller has a significant effect on the system performance, an adaptive FNN controller is proposed to control the motor-toggle servomechanism. In the proposed adaptive FNN controller, an FNN is adopted to facilitate the adjustment of control gain on line. Moreover, simulated and experimental results due to a periodic sinusoidal command show that the dynamic behaviors of the proposed adaptive and adaptive FNN controllers are robust with regard to uncertainties.

Original languageEnglish
Pages (from-to)95-117
Number of pages23
JournalMolecular Diagnosis
Issue number4
StatePublished - 2000


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