DocumentCode :
1582872
Title :
Neuro fuzzy robust controllers for drive systems
Author :
Dote, Yasuhiko ; Strefezza, Miguel ; Suyitno, Amin
Author_Institution :
Dept. of Comput. Sci. & Syst. Eng., Muroran Inst. of Technol., Japan
fYear :
1993
fDate :
6/15/1905 12:00:00 AM
Firstpage :
229
Lastpage :
242
Abstract :
The authors describe and approximate zeroing with an equivalent disturbance observer and predictive controller for drive systems. Then this linear controller structure is changed by fuzzy logic such that the controller makes the system respond quickly if the error is large and vice versa in order to obtain a robust controller which is insensitive to both the plant noise and the observation noise. Next, a variable structure PI controller by fuzzy logic for the drive systems is introduced. Then, this control scheme is implemented with neural networks. These controllers are realized with digital signal processors. The experimental results are given. Lastly, the applications of neuro fuzzy methods to inverters, converters, motion controls and sensors are explained.
Keywords :
electric drives; fuzzy control; fuzzy logic; learning (artificial intelligence); machine control; neural nets; power engineering computing; predictive control; state estimation; two-term control; variable structure systems; converters; digital signal processors; drive systems; equivalent disturbance observer; fuzzy logic; inverters; linear controller structure; motion controls; neural networks; predictive controller; sensors; variable structure PI controller; Control systems; Digital signal processors; Drives; Error correction; Fuzzy control; Fuzzy logic; Fuzzy systems; Neural networks; Noise robustness; Robust control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 1993. Conference Proceedings, ISIE'93 - Budapest., IEEE International Symposium on
Conference_Location :
Budapest, Hungary
Print_ISBN :
0-7803-1227-9
Type :
conf
DOI :
10.1109/ISIE.1993.268801
Filename :
268801
Link To Document :
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