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IMPROVING AC MOTOR EFFICIENCY WITH FUZZY LOGIC ENERGY OPTIMIZER
Citation:
Spiegel, R., J. Chappell, AND J. Cleland. IMPROVING AC MOTOR EFFICIENCY WITH FUZZY LOGIC ENERGY OPTIMIZER. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/A-94/240.
Description:
The paper discusses EPA's research program to develop fuzzy-logic-based energy optimizers for alternating-current (AC) induction motors driven by Adjustable Speed Drives (ASDs). he technical goals of the program are to increase the efficiency of ASD/motor combinations (especially when operating at off-rated torque/ speed conditions), develop a generic controller for energy optimization that can be applied to a wide range of motors and ASDs regardless of size and application, and develop a controller for energy optimization that can eliminate the requirement for tachometer or encoder feedback, and still maintain the stability and response of closed-loop control. lectric motors use over 60% of the electrical power generated in the U. S. The U. S. population of approximately I billion motors use over 1700 billion kWh per year. ver 140 million new motors are sold each year. eview of the U. S. motor population reveals that 90% of the motors are less than 1 hp (fractional motors) in size, but use less than 10% of the electricity consumed by motors. ore than 80% of the electricity used by motors is consumed by less than 1% of the motor population (motors greater than 20 hp). hus, it is clear that large energy savings from improvement in motor efficiency could be achieved from a relatively small motor population.