Fuzzy logic control of electric motors and motor drivers: Feasibility study. Final report, October 1990-July 1991
The report gives results of a study (part 1) of fuzzy logic motor control (FLMC). The study included: (1) reviews of existing applications of fuzzy logic, of motor operation, and of motor control; (2) a description pf motor control schemes that can utilize FLMC; (3) selection of a motor stator voltage control scheme to minimize motor input power at specified speed/torque conditions; and (4) development and demonstration of software to simulate both ac motor performance and a fuzzy logic controller for optimized motor efficiency. Simulated FLMC results compared favorably with other motor control approaches. Potential emissions reductions were quantitated based on preliminary predictions of FLMC performance. Electric motors use 60% of the electrical energy generated in the U.S. An improvement of 1% in all electric motors` operating efficiency could result in reduced coal combustion of 6.5 to 10 million tons per year. New techniques are required to extract the ultimate performance from modern electric motors.
- Research Organization:
- Research Triangle Inst., Durham, NC (United States)
- OSTI ID:
- 200203
- Report Number(s):
- PB--96-136387/XAB; CNN: Grant EPA-R814169-03
- Country of Publication:
- United States
- Language:
- English
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