Position Estimation Error Reduction Using Recursive-Least-Square Adaptive Filter for Model-Based Sensorless Interior Permanent-Magnet Synchronous Motor Drives

Wang, Gaolin; Li, Tielian; Zhang, Guoqiang; Gui, Xingmin; Xu, Dianguo

doi:10.1109/tie.2013.2264791

Cited by 132 publications

(51 citation statements)

References 36 publications

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“…In [19], the adaptive filter is designed as a notch to attenuate 60-Hz noise in an electrocardiogram (ECG). The similar adaptive filter can be used as BPF, as well [20,21].…”

Section: Structure Of the Adaptive Filtermentioning

confidence: 99%

“…In [20], the adaptive filter ensures better dynamic performance and enlarges the working speed range of the sensorless drives. In [21], the adaptive filter is adopt to eliminate the estimation harmonic error caused by the inverter nonlinearities and flux spatial harmonics. Benefiting from its linear network structure, it is convenient to specify the frequency to be canceled or allowed to pass.…”

Section: Introductionmentioning

confidence: 99%

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Sensorless Control of Interior Permanent Magnet Synchronous Motor in Low-Speed Region Using Novel Adaptive Filter

2016

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This paper presents a novel position and speed estimation method for low-speed sensorless control of interior permanent-magnet synchronous machines (IPMSMs). The parameter design of the position and speed estimator is based on the sampled current rather than the motor electrical parameters. The proposed method not only simplifies the parameter design, it enables the estimator to work normally even in the condition that the electrical parameters are uncertain or varied. The adaptive filters are adopted to extract the desired high frequency current. The structure and corresponding transfer function are analyzed. To address the shortage of insufficient stop-band attenuation, the structure of the adaptive filter is modified to provide suitable bandwidth and stop-band attenuation simultaneously. The effectiveness of the proposed sensorless control strategy has been verified by simulations and experiments.

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“…In [19], the adaptive filter is designed as a notch to attenuate 60-Hz noise in an electrocardiogram (ECG). The similar adaptive filter can be used as BPF, as well [20,21].…”

Section: Structure Of the Adaptive Filtermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensorless Control of Interior Permanent Magnet Synchronous Motor in Low-Speed Region Using Novel Adaptive Filter

2016

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“…For this reason, there has been consistent demand for reducing circuit cost from the fields where the cost is critically concerned such as home appliances and small machine drive application. Position or speed sensor eliminations [2]- [12], current sensing techniques using resistors [13]- [16], and parallel dual/multi machine drives [17]- [26] are the representative studies for the circuit reduction. Among the various challenges, parallel machine drive technique failed to arouse the interests of researchers and manufacturers due to the synchronized speed operation and the deteriorated performance compared to other techniques.…”

Section: Rsmentioning

confidence: 99%

“…However, the two position sensors are certainly required in [26] due to the current decomposition. Although at least two current sensors are required in the proposed method, the various position sensorless algorithms [2]- [12] can be utilized. The undescribed circuits between power source and dc link are also reduced in comparison with the individual drive system.…”

Section: Spmsm Modeling and Characteristics Of Midp Spmsm Drive Smentioning

confidence: 99%

Control Method for Mono Inverter Dual Parallel Surface-Mounted Permanent-Magnet Synchronous Machine Drive System

Lee

Park

2015

IEEE Trans. Ind. Electron.

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This paper presents the control method for mono inverter dual parallel (MIDP) surface mounted permanent magnet synchronous motor (SPMSM) drive system. Unlike the MIDP induction machine drive system, MIDP SPMSM drive system suffers from the inherent instability due to the lack of slip. Proposed active damping control method refrains the system oscillation coming from the mechanical and electrical unbalances and enables the stable operation. This paper also presents the simple maximum torque per ampere control method for MIDP SPMSM drive system. Mathematically calculated optimal currents reduce the amplitude of the currents and improve the drive efficiency. To maximize the merits of the MIDP motor drive system, sensorless algorithm is also applied. Experiments with the 600W SPMSMs are executed to verify the feasibility of the proposed control method.

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“…However, the insertion of low pass filters causes the phase delay which is usually compensated by the additional phase compensation module. In order to solve the problem, an adaptive filter with an adaptive gain is proposed in [30] for sensorless control of three-phase PMSM, but it still unable to implement the phase compensation completely. In [31], to reduce the chattering of the SMO, the switching function of the SMO is designed by replacing the conventional sign function with the saturation function for the sensorless control in three-phase PMSM drive control system.…”

Section: Introductionmentioning

confidence: 99%

Iterative sliding mode observer for sensorless control of five-phase permanent magnet synchronous motor

Yang

Dou²,

Zhao³

2017

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. Due to the star connection of the windings, the impact of the third harmonic which does not exist in three-phase permanent magnet synchronous motor (PMSM) cannot be ignored in five-phase PMSM. So the conventional sensorless control methods for three-phase PMSM cannot be applied for five-phase PMSM directly. To achieve the sensorless control for five-phase PMSM, an iterative sliding mode observer (ISMO) is proposed with the consideration of the third harmonic impact. First, a sliding mode observer (SMO) is designed based on the fivephase PMSM model with the third harmonic to reduce the chattering and obtain the equivalent signal of the back electromotive force (EMF). Then, an adaptive back EMF observer is built to estimate the motor speed and rotor position, which eliminates the low-pass filter and phase compensation module and improves the estimation accuracy. Meanwhile, by iteratively using the SMO in one current sampling period to adjust the sliding mode gains, the sliding mode chattering and estimation errors of motor speed and rotor position are further reduced. Besides, the stability of the SMO and the adaptive back EMF observer are demonstrated in detail by Lyapunov stability criteria. Experiment results verify the effectiveness of the proposed observer for sensorless control of five-phase PMSM.Key words: five-phase PMSM, sensorless control, iterative sliding mode observer (ISMO), Lyapunov criteria, speed and position estimation. system to decoupled equations in rotating coordinate system and controlling the five-phase PMSM as DC motor [10]. For the electric drive system of five-phase PMSM, the conventional control strategy usually needs the information of rotor position and speed for closed-loop control by position sensor such as an optical encoder fixed on the motor shaft [11]. Unfortunately, the position sensor, which is sensitive to the vibration and temperature, restricts the application of five-phase PMSM in electric drive system operated in harsh environmental conditions, and reduces the reliability of the whole electric drive system [12,13].Nowadays, with the development of digital signal processor [14-16], the sensorless control technology has gained more attention in drive control system of three-phase PMSM. The sensorless control techniques are generally divided into two categories which are the high-frequency signal injection method by utilizing the salient effect of PMSM [17][18][19] and the observer estimation method based on all kinds of observers [20][21][22]. Unfortunately, the high-frequency signal injection method depends on the saliency of the motor. So the application of this method is usually limited to interior PMSM. Besides, the high-frequency injection signal will bring high-frequency noise and cause the performance degradation in electric drive system. And the observer estimation methods such as model reference adaptive method [23,24] and Kalman filtering method [25,26] are dependent on an accurate model of the PMSM to a certain extent. However, for the good robustness, ...

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Position Estimation Error Reduction Using Recursive-Least-Square Adaptive Filter for Model-Based Sensorless Interior Permanent-Magnet Synchronous Motor Drives

Cited by 132 publications

References 36 publications

Sensorless Control of Interior Permanent Magnet Synchronous Motor in Low-Speed Region Using Novel Adaptive Filter

Sensorless Control of Interior Permanent Magnet Synchronous Motor in Low-Speed Region Using Novel Adaptive Filter

Control Method for Mono Inverter Dual Parallel Surface-Mounted Permanent-Magnet Synchronous Machine Drive System

Iterative sliding mode observer for sensorless control of five-phase permanent magnet synchronous motor

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