Neuro fuzzy robust controllers for drive systems

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...

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Bibliographic Details
Published inISIE '93 - Budapest: IEEE International Symposium on Industrial Electronics Conference Proceedings pp. 229 - 242
Main Authors Dote, Y., Strefezza, M., Suyitno, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1993
Subjects
Control systems
Digital signal processors
Drives
Error correction
Fuzzy control
Fuzzy logic
Fuzzy systems
Neural networks
Noise robustness
Robust control
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Summary: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.< >
ISBN:0780312279
9780780312272
DOI:10.1109/ISIE.1993.268801