Hybrid MATLAB and LabVIEW with neural network to implement a SCADA system of AC servo motor

Advances in Engineering Software

Volumn 39, Issue 3, 2008, Pages 149-155

  Horng, Jui Hong ^a  

^a NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

Author keywords

LabVIEW; Neural networks; SCADA; Servo motor

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MATHEMATICAL MODELS; NEURAL NETWORKS; SCADA SYSTEMS;

DESIGNING CONTROLLERS; SERVO MOTORS; SYSTEM IDENTIFICATIONS;

NONLINEAR SYSTEMS;

EID: 36749090087     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2007.02.006     Document Type: Article

References (15)

1. Yoshitsugu J., Hiraki E., Nakaoka M., and Inoue K. Active edge-resonant DC link snubber-assisted three phase soft switching inverter for AC servo drive. IEEE Confer Ind Electron Control Instrum 2 (2001) 856-861
2. Huth G. Permanent-magnet-excited AC servo motors in tooth-coil technology. IEEE Trans Energy Convers 20 2 (2005) 300-307
3. Yoneya A., Yoshimaru K., and Togari Y. Self-sensing control of AC-servo motor with DSP oriented observer. Proc Adv Motion Control (2000) 560-565
4. Yamaji K., Mizuno T., and Ishii N. The motor driving control of X-Y-Z table utilizing photoelectric device and optical pattern recognition. IECON 1 (1992) 401-406
5. Chen J.Y. An integration design approach in PID controller. IPMM 2 (1999) 901-907
6. Tang K.S., Kim F.M., Guanrong C., and Kwong S. An optimal fuzzy PID controller. IEEE Trans Ind Electron 48 4 (2001) 757-765
7. Asano M., Yamamoto T., Oki T., and Kaneda M. A design of neural-net based predictive PID controllers. IEEE SMC 4 (1999) 1113-1118
8. Kang J.H., Yim C.H., and Kim D.L. Robust position control of AC servo motors. IEEE Confer Ind Electron Control Instrum 1 (1995) 621-626
9. Huh U.Y., and Lee J.H. A modified sliding mode speed control scheme for AC servo motor. IEEE Confer Ind Electron Control Instrum 2 (1995) 730-735
10. Tan Y., Zhang J., Xu Y., and Zeng J. A novel control strategy of AC servo system. IEEE Confer Intell Process Syst (1997) 286-290
11. Maureen C., and Charles B. Understanding neural networks (1992), The MIT Press
12. Yoichi H., and Masato N. Automated extraction of fuzzy IF-THEN rules using neural networks. Trans IEEE 110 3 (1990) 198-206
13. Takagi H. Fusion technology of fuzzy theory and neural networks survey and future direction. Proc Fuzzy Logic Neural Networks (1990) 13-26
14. Hagan MT, Demuth HB, Beale M. Neural network design. PWS 1996.
15. Kim P.H., Sin S.H., Baek H.L., Cho G.B., Kim D.G., and Kim D.H. Speed control of AC servo motor using neural networks. Proc Electr Mach Syst 2 (2001) 691-694