Initial position estimation and low speed sensorless control of synchronous motors in consideration of magnetic saturation based on system identification theory
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Abstract:
We propose a novel method for estimating the initial position and achieving low-speed sensorless control of synchronous motors based on system identification theory. We derive mathematical models that consider magnetic saturation, and use this model for position estimation. The proposed method requires neither any band-pass filters nor motor parameters, and it can be applied to all kinds of synchronous motors without any tuning. Polarity detection of the magnetic pole can be also determined simultaneously with position estimation, making extra signals for polarity detection unnecessary. The proposed estimation method is verified experimentally.Keywords:
Position (finance)
Synchronous motor
Polarity (international relations)
Machine control
Saturation (graph theory)
Identification
Signal injection sensor-less control for synchronous machines is known to be afflicted by an estimation error dependent on the load current. The estimation error is related to the cross-saturarion and the saliency of the adopted synchronous machine. A motor can be more or less suitable for signal injection sensorless control compared to other motors with different designs or sizes. A sensorless drive can even be afflicted by the control divergence when the machine is highly saturated, resulting in a useless drive. Moreover, even when the control converges, the actual current control trajectory is different from the given reference. In this paper, a measurement procedure of the convergence region, i.e. the operating points where the motor can be successfully controlled without a position sensor is presented and validated. In particular, two different synchronous motors are considered, a permanent magnet assisted synchronous reluctance motor (PMA-SynRM) and a synchronous reluctance motor (SynRM).
Synchronous motor
SIGNAL (programming language)
Magnetic reluctance
Machine control
Motor drive
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Synchronous motor
Machine control
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Synchronous motor
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Synchronous motor
Machine control
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Parameter of machine can change due to temperature, saturation effects and other environmental effects. So the estimation of various parameters is very essential for the accurate operation of control algorithm for the machine. This paper discusses various methods of parameter estimation for permanent magnet synchronous motor (PMSM). PMSM is selected due to high performance, high efficiency, high torque to inertia ratio [1] etc. For PMSM different parameter of machine can be evaluated by different methods, study is done for the same and comparison is presented in this paper. Parameters can be evaluated by online and off line estimation methods. Online methods for parameter estimation have its advantages over offline methods. Online method of parameter estimation is adopted to find the shaft speed, hence eliminating mechanical sensor and reducing the cost of PMSM.
Synchronous motor
Machine control
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In today's world, electrical machines are essential in various industries and our daily lives. The popular choice is the permanent magnet synchronous machine (PMSM), however it has some drawbacks. Since PMSMs require rare-earth elements (or other special alloys), a magnet-free alternative motor called wound rotor synchronous machine (WRSM) used to reduce reliance on foreign industries. The field current of a WRSM passing through the rotor windings generates the magnetic field which offers flexibility in flux linkage. The WRSMs have also some disadvantages compared to PMSMs such as increased rotor losses because of the field winding, and larger size. This study presents a modeling and control methods of WRSMs, highlighting the differences in the control algorithm. The control methods for WRSMs are similar to PMSMs like zero d-axis current (ZDC) control and maximum torque per ampere (MTPA) control. But the independent control of the field current allows for more flexible field-oriented control in high-speed applications of a WRSM.
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Synchronous motor
Machine control
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Synchronous motor
Machine control
Electronic speed control
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Synchronous motor
Machine control
Electronic speed control
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This paper introduces a sensorless control method of position estimation for permanent magnet (PM) synchronous machines. The method, using rotating vector, carrier frequency excitation and heterodyning, tracking observers for position estimation is discussed. The experimental results for the case of a buried PM machine are shown in the paper. It has been demonstrated that this technique can operate over a wide speed range.
Synchronous motor
Position (finance)
Machine control
Tracking (education)
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Virtual Synchronous Generator control of inverters is one of the promising solution to the insertion of renewable energies on Microgrids which still insure the system's stability. In this paper an improved synchronous machine model for the VSG-based inverter is proposed. The model represents the dynamics of the synchronous machine and has the advantage to respect the synchronous machine standards. The proposed model is detailed and completed with a frequency-response characteristics study. Two different validations are presented to support this new model. Firstly, a comparison with a previously developed model, implemented in the control of an inverter is presented. Secondly, to validate the fact that the proposed synchronous machine model respects the standards, harmonics studies are performed and discussed.
Synchronous motor
Machine control
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