Fuzzy logic controller optimization
A method is provided for optimizing a rotating induction machine system fuzzy logic controller. The fuzzy logic controller has at least one input and at least one output. Each input accepts a machine system operating parameter. Each output produces at least one machine system control parameter. The fuzzy logic controller generates each output based on at least one input and on fuzzy logic decision parameters. Optimization begins by obtaining a set of data relating each control parameter to at least one operating parameter for each machine operating region. A model is constructed for each machine operating region based on the machine operating region data obtained. The fuzzy logic controller is simulated with at least one created model in a feedback loop from a fuzzy logic output to a fuzzy logic input. Fuzzy logic decision parameters are optimized based on the simulation.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC36-83CH10093
- Assignee:
- Ford Global Technologies, LLC (Dearborn, MI)
- Patent Number(s):
- 6,711,556
- Application Number:
- 09/669,211
- OSTI ID:
- 1174787
- Country of Publication:
- United States
- Language:
- English
| Power Electronics and Variable Frequency Drives: Technology and Applications | book | September 1996 |
Loss minimization control of an induction motor drive
|
journal | January 1991 |
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