Abstract | ||
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Fuzzy PID tuning requires two stages of tuning; low level tuning followed by high level tuning. At the higher level, a nonlinear tuning is performed to determine the nonlinear characteristics of the fuzzy output. At the lower level, a linear tuning is performed to determine the linear characteristics of the fuzzy output for achieving overall performance of fuzzy control. First, different fuzzy systems are defined and then simplified for two-point control. Non-linearity tuning diagrams are constructed for fuzzy systems in order to perform high level tuning. The linear tuning parameters are deduced from the conventional PID tuning knowledge. Using the tuning diagrams, high level tuning heuristics are developed. Finally, different applications are demonstrated to show the validity of the proposed tuning method. |
Year | DOI | Venue |
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2001 | 10.1109/3477.915351 | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society |
Keywords | Field | DocType |
pid tuning,fuzzy pid controllers,control system synthesis,low level tuning,fuzzy control,three-term control,high level tuning,two-point control | Fuzzy electronics,Nonlinear system,PID controller,Computer science,Control theory,Fuzzy logic,Fuzzy pid controller,Fuzzy pid,Heuristics,Fuzzy control system | Journal |
Volume | Issue | ISSN |
31 | 2 | 1083-4419 |
Citations | PageRank | References |
20 | 1.50 | 4 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mann, G.K.I. | 1 | 139 | 13.77 |
Bao-Gang Hu | 2 | 22 | 2.90 |
Gosine, R.G. | 3 | 85 | 10.46 |