Fuzy Neural Network Control System

We designed a supervisory fuzzy neural network (FNN) control system to tracked peridic reference input. The control system consists of a synchronous servomotor drive with a supervisory FNN position controller. The supercisory FNN controller comprises a supervisory controller, which a designed to stabilize the system states around a defined boundary region, and a FNN aliding mode controller, which combines the advantages of the sliding mode with robust characterristics and the FNN with online learning ability. The theoretical and stability analyses of the supervisory FNN controller are discussed in detail. Simulation result shows that the control system is robust with regard to plant parameter variations and external load disturance.