Industrial applications of fuzzy logic at General Electric
- General Electric Corporate Research and Development, Schenectady, NY (United States)
Fuzzy logic control (FLC) technology has drastically reduced the development time and deployment cost for the synthesis of nonlinear controllers for dynamic systems. As a result there has been an increased number of FLC applications. The authors illustrate some of their efforts in FLC technology transfer, covering projects in turboshaft aircraft engine control, steam turbine startup, steam turbine cycling optimization, resonant converter power supply control, and data-induced modeling of the nonlinear relationship between process variables in a rolling mill stand. The authors compare these applications in a cost/complexity framework, and examine the driving factors that led to the use of FLCs in each application. They emphasize the role of fuzzy logic in developing supervisory controllers and in maintaining explicit tradeoff criteria used to manage multiple control strategies. Finally, they describe some of their FLC technology research efforts in automatic rule base tuning and generation, leading to a suite of programs for reinforcement learning, supervised learning, genetic algorithms, steepest descent algorithms, and rule clustering.
- OSTI ID:
- 51711
- Journal Information:
- Proceedings of the IEEE, Journal Name: Proceedings of the IEEE Journal Issue: 3 Vol. 83; ISSN IEEPAD; ISSN 0018-9219
- Country of Publication:
- United States
- Language:
- English
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