Motor current signal analysis is an effective technique for fault diagnosis in the motor drive system. However, in the closed-loop control (CLC) system, the amplitude of periodic faulty harmonic is suppressed by the i...
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Motor current signal analysis is an effective technique for fault diagnosis in the motor drive system. However, in the closed-loop control (CLC) system, the amplitude of periodic faulty harmonic is suppressed by the impact of CLC characteristics, so the severity assessment of faults may fail. In this article, a model reference method based on the theoretical analysis of CLC characteristics is proposed to deal with this problem. First, the faulty harmonic in the q-axis current is extracted from the field-oriented control process as a fault indicator. Then, the bandpass effect is revealed to describe the variation of amplitudes of harmonics in the current spectrum. The variation is caused by the control parameter and architecture in the CLC system. Finally, to improve diagnostic performance, a model reference method is proposed to compensate for the aforementioned variation. The model is established by experimentally measuring the amplitude-frequency response of the closed-loop speed control system. The bandpass effect of the CLC system is validated by simulations in the MATLAB/Simulink environment. Furthermore, experimental validations are conducted on a ball screw platform. The results show that the proposed method is effective to compensate the bandpass effect and helps to achieve better diagnostic performance.
We propose an adaptive stabilization solution for a linear second-order system with unknown parameters, where only the position and the sign of the constant associated with the control input are known. The control str...
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We propose an adaptive stabilization solution for a linear second-order system with unknown parameters, where only the position and the sign of the constant associated with the control input are known. The control strategy consists in proposing a filter system with its whole state available and having the same structure as the uncertain system. Then, based on the Immersion & Invariance approach, and the model reference method, we design an adaptive controller to stabilize the filter system. Finally, using the backstepping approach, we stabilize the original uncertain system. We carry out the convergence analysis using the traditional Lyapunov method, in conjunction with the Barbalat's Lemma. The obtained control strategy is simple and easy to implement. We assess the effectiveness of our adaptive control strategy through numerical simulations.
This paper presents an optimizing algorithm for speed controlled of the induction motor under sensorless. According to the Lyapunov stability theory, applying the vector analyses method, through the stator current and...
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ISBN:
(纸本)9781627485852
This paper presents an optimizing algorithm for speed controlled of the induction motor under sensorless. According to the Lyapunov stability theory, applying the vector analyses method, through the stator current and the rotor flux are calculated to estimate rotor speed. Corresponding to sensorless control drawbacks, a variable structure control scheme for the induction motor is proposed combined with model reference method. Simulation results show that the control plan is effectively. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology
This paper presents an optimizing algorithm for speed controlled of the induction motor under sensorless. According to the Lyapunov stability theory, applying the vector analyses method, through the stator current and...
详细信息
This paper presents an optimizing algorithm for speed controlled of the induction motor under sensorless. According to the Lyapunov stability theory, applying the vector analyses method, through the stator current and the rotor flux are calculated to estimate rotor speed. Corresponding to sensorless control drawbacks, a variable structure control scheme for the induction motor is proposed combined with model reference method. Simulation results show that the control plan is effectively.
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