Sliding mode variable-structure MRAS speed identification for induction motor direct torque control system
Wang Lei, Yinghui Li, Lei Xiao
Abstract
Wang Lei, Yinghui Li, Lei Xiao
Abstract
This paper proposes a novel sliding mode reference adaptive system(SM MRAS) observer for speed identification in a sensorless direct torque control induction motor system. The SM MRAS method uses the Voltage Model (VM) as reference and the Current Model (CM) as adjustable model to estimate the motor speed by combining MRAS with sliding mode variable-structure control to formulate a slide mode surface according to two model output errors. Theoretical analysis shows that the proposed strategy has stronger robustness and satisfactory performance. Simulations show that they yield accurate estimates; good dynamic behavior and resist disturb design.
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This paper proposes a novel sliding mode reference adaptive system(SM MRAS) observer for speed identification in a sensorless direct torque control induction motor system. The SM MRAS method uses the Voltage Model (VM) as reference and the Current Model (CM) as adjustable model to estimate the motor speed by combining MRAS with sliding mode variable-structure control to formulate a slide mode surface according to two model output errors. Theoretical analysis shows that the proposed strategy has stronger robustness and satisfactory performance. Simulations show that they yield accurate estimates; good dynamic behavior and resist disturb design.
Key concepts: MRAS, Control theory (sociology), Robustness (evolution), Induction motor, Torque, Direct torque control, Adaptive system, Computer science