Hybrid Pseudorandom Signal Injection for Position Sensorless SynRM Drives With Acoustic Noise Reduction

Zhang, Guoqiang; Xiang, Runhua; Wang, Gaolin; Li, Chengrui; Bi, Guangdong; Zhao, Nannan; Xu, Dianguo

doi:10.1109/tte.2021.3089726

Cited by 50 publications

(4 citation statements)

References 24 publications

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“…Environmental factors such as humidity, high temperature, vibration, and electromagnetic force can cause the position sensors to not work reliably, which deteriorates the system performance. Hence, sensorless control is considered to be a more effective way to realize high-performance SynRM drives in consideration of a low cost and high reliability [7][8][9]. At high speeds, since the current, voltage, and back-EMF signals of the motor are relatively strong, sensorless control for SynRM drives is usually achieved by the model-based method.…”

Section: Introductionmentioning

confidence: 99%

Dead-Time Compensation Using ADALINE for Reduced-Order Observer-Based Sensorless SynRM Drives

Lv,

Wang,

Zhao

et al. 2024

Energies

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The inverter dead time effect is non-negligible for the control performance of sensorless synchronous reluctance motor (SynRM) drives at low speeds. In this paper, a reduced-order observer-based sensorless control method for SynRM drives combined with the adaptive linear neurons (ADALINE)-based dead-time compensation is proposed. The reduced-order observer-based sensorless control method is presented, for which is parameter tuning is easy. On this basis, the dead-time compensation strategy using ADALINE filters is proposed to reduce the voltage harmonics effect on the estimation performance of the reduced-order observer. With ADALINE filters, the sixth current harmonic can be successfully filtered out by compensating the voltage directly or fitting the current to compensate the voltage. In this way, the low-speed estimation performance of the reduced-order observer is improved. The effectiveness of the proposed method is verified on a 3 kW SynRM experimental platform.

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Section: Introductionmentioning

confidence: 99%

Dead-Time Compensation Using ADALINE for Reduced-Order Observer-Based Sensorless SynRM Drives

Lv,

Wang,

Zhao

et al. 2024

Energies

Self Cite

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“…However, the traditional position sensor has disadvantages of limited use environment and high cost. Addressing the limitations of sensor-reliant systems, the field of sensorless control technology has gained prominence as a vital research area in recent years [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Sensorless Control in PMSM Based on the SOGIFO-X Flux Observer Algorithm

Jin,

Chen,

et al. 2024

Sensors

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In the realm of sensorless control for a permanent magnet synchronous motor (PMSM), the flux observer algorithm is widely recognized. However, the estimation accuracy of rotor position is adversely impacted by the interference from DC bias and high-order harmonics. To address these issues, an advanced flux observation method, second-order generalized integrator flux observer extend (SOGIFO-X), is introduced in this paper. The study begins with a theoretical analysis to establish the relationship between flux observation error and rotor position error. The SOGIFO-X method, developed in this study, is compared with traditional methods such as the Low Pass Filter (LPF) and second-order generalized integrator flux observer (SOGIFO), employing mathematical rigor and Bode plot analysis. The emphasis is on the methodology and the general performance improvements SOGIFO-X offers over conventional methods. Simulations and experiments were conducted to assess the impact of SOGIFO-X on the steady-state and dynamic performances of sensorless control. Findings indicate that SOGIFO-X demonstrates significant enhancements in terms of reducing the reduced flux observation error, contributing to the advancement of position estimation accuracy and sensorless motor control technology.

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“…The study of square wave signal is widely used. Zhang et al [16] selected the square wave signal at random and put it into the scheme in order to reduce noise as much as possible, which will not limit the wide application of sensorless synchronous reluctance motor drives. Hwang et al [17] injected a square wave signal into a position-sensorless and theoretically analyzed its position estimation error.…”

Section: Introductionmentioning

confidence: 99%

Stochastic dynamics of stochastic delay Duffing oscillator and sensitivity analysis to different types of signals

Wang

Zhang

Yang

2023

Meas. Sci. Technol.

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In this paper, a stochastic delay diﬀerential system driven by the square wave signal is presented. The sensitivity of the system to diﬀerent types of signals is evaluated by the dynamic behaviors of the system. The stochastic dynamic behaviors of the system is analyzed theoretically, and the theoretical chaotic threshold under diﬀerent external excitation signals is deduced. The numerical simulation results show that the stochastic delay diﬀerential system is more sensitive to the square wave signals with the same frequency than the harmonic signal and the square wave signal with the diﬀerent frequency.

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Hybrid Pseudorandom Signal Injection for Position Sensorless SynRM Drives With Acoustic Noise Reduction

Cited by 50 publications

References 24 publications

Dead-Time Compensation Using ADALINE for Reduced-Order Observer-Based Sensorless SynRM Drives

Dead-Time Compensation Using ADALINE for Reduced-Order Observer-Based Sensorless SynRM Drives

Optimizing Sensorless Control in PMSM Based on the SOGIFO-X Flux Observer Algorithm

Stochastic dynamics of stochastic delay Duffing oscillator and sensitivity analysis to different types of signals

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