EPE 2016 - LS4f: Estimation and Identification Methods | ||
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![]() | A HARDWARE-EFFICIENT SELF-TUNED OUTPUT CAPACITOR CURRENT AND TIME CONSTANT ESTIMATOR FOR INDIRECT ENERGY TRANSFER CONVERTERS BASED ON DYNAMIC VOLTAGE SLOPE ADJU
By Shadi DASHMIZ | |
Abstract: This paper introduces a novel hardware-efficient auto-tuned output capacitor current and time- constant estimator for indirect energy transfer converters, which is based on well-known principle of the utilization of an auxiliary RC circuit and time constant matching. To provide accurate current measurement and early fault detection of the system while avoiding complex calculations/hardware usually existing in other auto-tuned methods, the reconstruction of the time constant is performed through a simple detection of the polarity of the slope of the estimator voltage during the main switch off time. The effectiveness of the estimator has been experimentally verified with a 20 W boost-based prototype, demonstrating about 97\% of accuracy in the instantaneous current and time-constant measurements.
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![]() | Average Current Method to Detect Open-Winding Fault of Three-Phase Permanent Magnet Synchronous Motors
By HUNG-CHI CHEN | |
Abstract: In this paper, the average current method is proposed to detect the open-winding fault of three-phase permanent magnet synchronous motors (PMSMs). The characteristics and operational regions are studied. All the methods are implemented in FPGA-based system. The simulation and experimental results are provided to demonstrate the proposed method.
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![]() | Induction Machine Speed Tracking Based on Rotor Slot Harmonics Using a Modified PLL Approach
By Stefan LÜCKE | |
Abstract: The motor speed of an induction machine can be accurately estimated by utilizing speed-dependent harmonics in the stator current. This paper presents a PLL-based approach to identify one of these harmonics and reduce bandwidth-limiting filtering operations. Experimental results show the ability for tracking dynamic speed transitions.
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![]() | Oversampling Based Approach for Open Circuit Fault Detection in PMSM Drive Systems
By Fabian OELKERS | |
Abstract: This paper presents a novel method for detecting open circuit faults in electric drive systems. The methodis based on oversampling of the phase currents during the zero voltage vector. It is independent fromany parameter sensitivity and current sensor errors. Furthermore, the detection can be done within thenext sampling time after the occurence of the fault. It allows a determination of the back EMF at everyoperating point. Test bench measurements demonstrate the functionality of the method.
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