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FUZZY-LOGIC-BASED CONTROLLERS FOR EFFICIENCY OPTIMIZATION OF INVERTER-FED INDUCTION MOTOR DRIVES
Spiegel*, R J., M. W. Turner, AND V. E. McCormick. FUZZY-LOGIC-BASED CONTROLLERS FOR EFFICIENCY OPTIMIZATION OF INVERTER-FED INDUCTION MOTOR DRIVES. FUZZY SETS AND SYSTEMS. Elsevier Science BV, Amsterdam, Netherlands, 137(3):387-401, (2003).
This paper describes a fuzzy-logic-based energy optimizing controller to improve the efficiency of induction motor/drives operating at various load (torque) and speed conditions. Improvement of induction motor efficiency is important not only from the considerations of energy savings and cooler system operation, but also from environmental pollution prevention potential. Fuzzy logic can make controlling complicated systems, such as induction motor/variable speed drive combinations, easier. The energy optimizer is complemented by a fuzzy-logic-based sensorless (without a tachometer) speed controller which controls motor shaft revolutions per minute to maintain constant motor speed during the efficiency optimization process. An experimental test system with the controllers has been implemented in the laboratory to determine efficiency gains achieved with selected commercial motors. Efficiency gains as high as 12% have been achieved, with motor shaft speed being controlled to within 0.5%.
Record Details:Record Type: DOCUMENT (JOURNAL/PEER REVIEWED JOURNAL)
Organization:U.S. ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF RESEARCH AND DEVELOPMENT
NATIONAL RISK MANAGEMENT RESEARCH LABORATORY
AIR POLLUTION PREVENTION AND CONTROL DIVISION
ATMOSPHERIC PROTECTION BRANCH