Title :
Fuzzy autotuning scheme based on α-parameter ultimate sensitivity method for AC speed servo system
Author :
Yoshitsugu, Junji ; Inoue, Kenji ; Nakaoka, Mutsuo
Author_Institution :
Dept. of Electr. & Electron. Eng., Yamaguchi Univ., Japan
Abstract :
This paper presents an advanced method to improve the speed response characteristics of an AC servomotor drive system with mechanically resonant loads without any data-based experiences. Mechanical resonance and antiresonance are both effectively suppressed on the basis of a load speed feedback approach for the AC servo motion system. A novel α-parameter ultimate sensitivity method is applied to obtain a stable compensation between the proportional plus integral controller gains and load speed feedback gain. The fuzzy reasoning processing for this system is introduced for autotuning of the α parameter. The effectiveness of the proposed autotuning control scheme in the AC speed servo system is verified in terms of computer simulation results
Keywords :
AC motor drives; compensation; control system analysis computing; control system synthesis; electric machine analysis computing; feedback; fuzzy control; machine control; machine theory; observers; sensitivity analysis; servomotors; two-term control; velocity control; α-parameter ultimate sensitivity method; AC speed servomotor drive system; PI controller gains; computer simulation; fuzzy autotuning scheme; load speed feedback approach; load speed feedback gain; mechanical antiresonance; mechanical resonance; mechanically resonant loads; speed response characteristics; Control systems; Feedback; Fuzzy reasoning; Machinery production industries; Motion control; Pi control; Proportional control; Resonance; Servomechanisms; Vibrations;
Journal_Title :
Industry Applications, IEEE Transactions on
