Journal
MECHATRONICS
Volume 10, Issue 1-2, Pages 145-167Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0957-4158(99)00075-6
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A quick-return mechanism, which is driven by a field-oriented control permanent magnet (PM) synchronous servomotor, with fuzzy neural network (FNN) control is proposed in this study. The rod and crank of the quick-return mechanism are assumed to be rigid. First, the machine design of the motor-quick-return mechanism is developed. Next, the kinematic analysis of the quick-return mechanism is introduced. Then, an FNN controller with varied learning rates is implemented to control the motor-quick-return servomechanism without using the complex mathematical model of the motor-mechanism coupled system. Finally, experimental results are provided to demonstrate the effectiveness of the FNN controller. (C) 1999 Elsevier Science Ltd. All rights reserved.
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