Repetitive Control of Linear Servo System Based on Fuzzy Neural

This paper presents an innovative application to improve the repetitive control system on linear servomotor based on fuzzy-neural theorem. The proposed method provides the advantages self-tuning ability by neural algorithm and fuzzifier, defuzzifier of the fuzzy theorem. The fuzzy neural controller is employed to improve the traditional fixed repetitive controller for the second low-pass filter value. Experiments results can be proved the system have better motion response, reduce steady-state error and peak acceleration.