Research on Sensorless Control Method of PMSM Based on a Kalman Filter Sliding Mode Observer

Haiyang, Tang; Li, Haixia; Jican, Lin

doi:10.1109/icmtma.2018.00077

Cited by 9 publications

(7 citation statements)

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“…Hybrid methods: A number of hybrid methods have been introduced typically to support full speed range in sensorless mode [4] or to join the best characteristics of different sensorless methods [5].…”

Section: Open Loop Methodsmentioning

confidence: 99%

Hybrid Sensorless Motor Control in aerospace applications, a survey in sensorless control, optimizing for availability and acoustic noise

Skoulaxinos

Wheeler

Vakil

2021

2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)

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A wide range of aerospace applications pre viously based on hydraulics including the control of ae rodynamic surfaces are being actively replaced by lighter, more intelligent Motor Drive Electronics (MDEs). However, motor resolvers commonly used to provide the rotor's position to the MDEs are sensitive devices susceptible to extreme te mperature and vibrations, conditions commonly encountered in aerospace applications. This weakness can lead to resolver failures and reduction in system availability. In DALA safety critical motor control designs, system availability is paramount. Following a survey of sensorless methods, this paper proposes a hybrid motor control solution where sensorless rotor position calculation is run in parallel with the resolver interface, monitoring the resolver. In the event of a resolver failure, the se nsorless motor control takes over controlling the motor. Furthermore in order to suppress acoustic noise produced from High Frequency injection, a variant of the Pseudo Random High Fre quency injection method is also proposed.

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Section: Open Loop Methodsmentioning

confidence: 99%

Hybrid Sensorless Motor Control in aerospace applications, a survey in sensorless control, optimizing for availability and acoustic noise

Skoulaxinos

Wheeler

Vakil

2021

2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)

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“…To ensure the normal operation of the system and the compatible simulation with the platform, we arranged the motor model and its control circuit into several parts: the current PI model [22]; the speed PI model [23]; the Clark transform model [24]; the park transform model [25]; the anti-park transform model [26]; the SVPWM model [27]; the IGBT (Insulated Gate Bipolar Transistor) model [28]; the PMSM model [29]; and the measurement model.…”

Section: Modeling Of the Powertrain Partmentioning

confidence: 99%

Dynamic Simulation of Permanent Magnet Synchronous Motor (PMSM) Electric Vehicle Based on Simulink

et al. 2022

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As an important component of vehicle design and energy conservation, electric vehicle dynamics simulation is essential, especially under complicated testing conditions. The current commercial vehicle simulation software is mostly used for fuel vehicle dynamics simulation, which lacks accurate electric powertrain parts and open sources. To address this problem, this paper proposes an open-source and flexible vehicle dynamics simulation platform that includes 27 degrees of freedom (DOFs) based on Simulink, which can compatibly support both traditional vehicle dynamics simulations and electric vehicle dynamics simulations. In addition, the platform can support module customization, which is convenient for researchers. Although this platform still needs some iterations to reach industrial and commercial standards, it can already achieve parameter consistency under the stability demands in general scenarios. We believe this work should receive research attention and participation to provide lower thresholds and more references to the dynamic simulation of electric vehicles to reduce vehicle energy consumption.

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“…Therefore, the speed information of the motor can also be determined, but this method is only applicable to a motor having a salient effect and a low speed operation. Extended Kalman filtering algorithm is proposed in [6][7][8]. This algorithm can effectively reduce the effects of external interference and noise, and the need for motor parameters and the initial location information is not high.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control of Permanent Magnet Synchronous Linear Motor Based on Sliding Mode Variable Structure Mras Flux Observation

Li¹,

Lv²,

Cheng³

et al. 2021

PIER Letters

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The object of this paper is a permanent magnet synchronous linear motor (PMLSM), whose control method is based on a model-referenced adaptive system (MRAS), and it analyses the speed identification of a permanent magnet synchronous linear motor without position sensors. The article proposes a new model-referenced adaptive method, which utilises a sliding-mode variable structure control method (SMC), to replace the PI control algorithm utilised in conventional model-referenced adaptive algorithm. The control system of the PMLSM is therefore designed and studied based on the change of the adaptive law in model-referenced adaption. The mathematical model of the PMLSM itself is chosen as the reference model, and the feedback magnetic chain model of the motor output is chosen as the adjustable model, replacing the conventional current model and simplifying the control algorithm. The sliding mode surface of the sliding mode variable structure control algorithm is constructed using the reference model and the output error of the adjustable model. Through theoretical analysis and simulation models built by MATLAB/Simulink simulation software, the simulation results show that the designed PMLSM speed induction-free control system MRAS speed observer based on the sliding mode variable structure has strong robustness and excellent dynamic static performance. The advantages verified by the new algorithm achieve the experimental purpose of the expected assumptions.

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Research on Sensorless Control Method of PMSM Based on a Kalman Filter Sliding Mode Observer

Cited by 9 publications

References 0 publications

Hybrid Sensorless Motor Control in aerospace applications, a survey in sensorless control, optimizing for availability and acoustic noise

Hybrid Sensorless Motor Control in aerospace applications, a survey in sensorless control, optimizing for availability and acoustic noise

Dynamic Simulation of Permanent Magnet Synchronous Motor (PMSM) Electric Vehicle Based on Simulink

Sensorless Control of Permanent Magnet Synchronous Linear Motor Based on Sliding Mode Variable Structure Mras Flux Observation

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