Fuzzy neural network control of a motor quick-return servomechanism

A quick-return mechanism, which is driven by a field-oriented control perma nent magnet (PM) synchronous servomotor, with fuzzy neural network (FNN) co ntrol is proposed in this study. The rod and crank of the quick-return mech anism are assumed to be rigid. First, the machine design of the motor-quick -return mechanism is developed. Next, the kinematic analysis of the quick-r eturn mechanism is introduced. Then, an FNN controller with varied learning rates is implemented to control the motor-quick-return servomechanism with out using the complex mathematical model of the motor-mechanism coupled sys tem. Finally, experimental results are provided to demonstrate the effectiv eness of the FNN controller. (C) 1999 Elsevier Science Ltd. All rights rese rved.