Fuzzy neural network control of a motor-quick-return servomechanism

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.