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In order to fully utilize the SRG windings, it is important to maintain the winding current in the negative inductance slope region at all times.
This paper discusses and demonstrates the application of fuzzy filtering to motor winding current estimation in permanent magnet synchronous motors.
We use a fuzzy system with correlation-product inference and centroid defuzzification for motor winding current estimation.
Motor winding current estimation is an important problem because in order to implement effective closed-loop control, a good estimation of the current is needed.
The auxiliary winding, which is called control winding throughout the study, is connected to a 300 Volt DC bus through a DC/AC inverter which enables full control over the winding current.
A triangular carrier-based fixed-frequency HCC strategy is expanded by relaxing the constraints on the rising and descending rates of the winding current to advance the capability of HCC to realize fixed-frequency modulation in the steady state.
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Motor winding currents are notoriously noisy because of electrical noise in the motor drive.
A precise speed control of PMBLDC motor is complex due to nonlinear coupling between winding currents and rotor speed.
The methods discussed in this paper are demonstrated on real motor winding currents that were collected with a digital oscilloscope.
The winding currents distribution and compensation capacity constraint are analyzed in detail by steady-state phasor diagrams.
The winding currents phase difference is reintroduced as a fundamental motor variable to determine motor performances including losses and efficiency.
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