Estimation of On-Fly Phase Resistance of on 8/6 Switched Reluctance Motor for Sensorless Control

Hrbáč, Roman; Mlčák, Tomáš; Kolář, Václav; Nečas, Jan

doi:10.5755/j01.eee.20.5.7093

Cited by 7 publications

(3 citation statements)

References 14 publications

(12 reference statements)

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“…During the motor operation, the variation of resistance can be more than 30% of the normal value [21]. Assume that the resistance error percentage ranges from −30 to 30%.…”

Section: Flux Linkage‐based Sensorless Control Methodsmentioning

confidence: 99%

“…Nevertheless, this method requires the installation of a temperature detector when the motor is assembled, which has the disadvantages of inconvenience and high cost. The resistance calculation methods are implemented by digital signal processing techniques [21][22][23]. The methods given in [21,22] are based on the voltage equation of phase winding, and the phase resistance is calculated by dividing the integral of voltage by the integral of current at each electrical period.…”

Section: Introductionmentioning

confidence: 99%

“…The resistance calculation methods are implemented by digital signal processing techniques [21][22][23]. The methods given in [21,22] are based on the voltage equation of phase winding, and the phase resistance is calculated by dividing the integral of voltage by the integral of current at each electrical period. In [23], a short pulse of current from a DC current source is provided for the test phase winding, and the phase resistance is calculated by dividing voltage by current when the current reaches a constant value.…”

Section: Introductionmentioning

confidence: 99%

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Circuit‐based flux linkage measurement method with the automated resistance correction for SRM sensorless position control

Liang

Chen

2018

IET Electric Power Applications

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The accuracy of flux linkage measurement is significantly important for a number of sensorless control methods for switched reluctance motor (SRM). This study proposes a novel flux linkage measurement circuit with the automated resistance correction, which comprises only circuit components. During the SRM sensorless operation, the dependence of resistance on temperature leads to the errors in flux linkage measurement and position estimation. The developed scheme is based on the zero-crossing property which asserts that the flux linkage and current pass through zero simultaneously. Hence, the flux linkage error captured at the time when the current falls to zero represents the resistance error and is used for resistance correction. The proposed circuit has been successfully implemented and tested on a sensorless SRM system. Experiment results indicate that the proposed system in sensorless control can be operated stably at different load torques and at the condition of given speed mutation and load mutation, and the speed range in steady state with rated load torque is 0-160 r/min. The overall estimated position error remains within an acceptable margin of 2%. Hence, it significantly improves the sensorless position estimation and thus SRM performance. Δθ e absolute value of the average position error Δθ e max absolute value of the maximum position error

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“…During the motor operation, the variation of resistance can be more than 30% of the normal value [21]. Assume that the resistance error percentage ranges from −30 to 30%.…”

Section: Flux Linkage‐based Sensorless Control Methodsmentioning

confidence: 99%