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FUZZY LOGIC CONTROL OF AC INDUCTION MOTORS
Citation:
Cleland, J., W. Turner, R. Wang, T. Espy, J. Chappell, R. Spiegel, AND B. Bose. FUZZY LOGIC CONTROL OF AC INDUCTION MOTORS. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/A-92/101.
Description:
The paper discusses the fuzzy logic control (FLC) of electric motors, being investigated under the sponsorship of the U.S. EPA to reduce energy consumption when motors are operated at less than rated speeds and loads. lectric motors use 60% of the electrical energy generated in the U.S. n improvement of 1% in operating efficiency of all electric motors could result in savings of 17 billion kWh per year in the U.S. ew techniques are required to extract maximum performance from modern motors. ne possibility, FLC, has recently demonstrated success in solving control problems on nonlinear, multivariable systems such as ac induction motors and adjustable motor-speed drives. imulated results of a microprocessor-based fuzzy logic motor controller (FLMC) are described. he investigation includes a motor stator voltage control scheme to minimize motor input power at specified speed/torque conditions; simulation of ac motor performance; and development of a FLMC for optimized motor efficiency. imulated FLMC results compare favorably with other motor control approaches. otential energy savings are quantitated based on the preliminary predictions of FLMC performance.