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 we have experienced an increased number of FLC applications. We will illustrate some of our 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. We will compare these applications in a cost/complexity framework, and examine the driving factors that led to the use of FLCs in each application. We will emphasize the role of fuzzy logic in developing supervisory controllers and in maintaining explicit tradeoff criteria used to manage multiple control strategies. Finally, we will describe some of our 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.
- Research Organization:
- USDOE Pittsburgh Energy Technology Center, PA (United States); Oregon State Univ., Corvallis, OR (United States). Dept. of Computer Science; Naval Research Lab., Washington, DC (United States); Electric Power Research Inst., Palo Alto, CA (United States); Bureau of Mines, Washington, DC (United States)
- OSTI ID:
- 81593
- Report Number(s):
- CONF-9410335--; ON: DE95011702; CNN: Contract RP8004-25
- Country of Publication:
- United States
- Language:
- English
Similar Records
An application of fuzzy logic to power generation control
Design of stability-guaranteed fuzzy logic controller for nuclear steam generators