A Newly Designed VSC-Based Current Regulator for Sensorless Control of PMSM Considering VSI Nonlinearity

Liu, Zhaohua; Nie, Jie; Wei, Hua‐Liang; Chen, Lei; Li, Xiaohua; Zhang, Hongqiang

doi:10.1109/jestpe.2020.3033037

Cited by 26 publications

(11 citation statements)

References 40 publications

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“…Therefore, Q is a symmetric positive definite matrix, and the motor parameters are independent of the rotor speed. From this, it can be proved that when the linear compensation matrix C is (24), the transfer matrix G(s) of the linear forward channel is strictly positive and real.…”

Section: Selection Of Linear Compensatormentioning

confidence: 92%

“…In addition, as a high-performance control method of PMSM, the core of FOC technology is to regulate the excitation current id and torque current iq, respectively. The currents id and iq can be calculated from the three phase currents ia, ib, and ic (which can be obtained by current sensors) by clark/park transformation [24]. Traditionally, the proportional-integral (PI) controller is usually utilized in many industrial applications because of their simple implementation.…”

Section: Introductionmentioning

confidence: 99%

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Switched PI Control Based MRAS for Sensorless Control of PMSM Drives Using Fuzzy-Logic-Controller

Liu

Nie

Wei

et al. 2022

IEEE Open J. Power Electron.

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With the use of sensorless control strategy, mechanical position sensors can be removed from the gearbox, so as to decrease the maintenance costs and enhance the system robustness. In this paper, a switching PI control based model reference adaptive system (MRAS) observer using Fuzzy-Logic-Controller (FLC) is introduced for sensorless control of permanent magnet synchronous motor (PMSM) drives. The main work and innovation of this paper include: 1) A disturbance observer based voltage compensation method is proposed to solve the problems of voltage distortion in voltage source inverter (VSI) fed PMSM systems. 2) A double closed-loop FLC is designed for speed and current control. The response performance of speed regulation and the accuracy of the command voltage are improved, and the difficulty of manual adjustment of control parameters is avoided. 3) A sensorless control strategy of a switching PI control based MRAS observer is proposed for stator resistance tracking. By setting different thresholds, the proposed MRAS observer can choose the appropriate PI adaptive mechanism based on the amplitude of the current error variable, which can improve the accuracy of resistance estimation and improve the dynamic performance of sensorless control. 4) The experimental results are given to verify the availability of the proposed scheme.

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Section: Selection Of Linear Compensatormentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Switched PI Control Based MRAS for Sensorless Control of PMSM Drives Using Fuzzy-Logic-Controller

Liu

Nie

Wei

et al. 2022

IEEE Open J. Power Electron.

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“…The dynamic model of the permanent magnet synchronous motor used in this paper on the d − q axis is as follows [35]:…”

Section: Case Study: Permanent Magnet Synchronous Motormentioning

confidence: 99%

Observer-Based Suboptimal Controller Design for Permanent Magnet Synchronous Motors: State-Dependent Riccati Equation Controller and Impulsive Observer Approaches

Kalamian,

Soltani,

Bouzari Liavoli

et al. 2024

Computers

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Permanent Magnet Synchronous Motors (PMSMs) with high energy efficiency, reliable performance, and a relatively simple structure are widely utilised in various applications. In this paper, a suboptimal controller is proposed for PMSMs without sensors based on the state-dependent Riccati equation (SDRE) technique combined with customised impulsive observers (IOs). Here, the SDRE technique facilitates a pseudo-linearised display of the motor with state-dependent coefficients (SDCs) while preserving all its nonlinear features. Considering the risk of non-available/non-measurable states in the motor due to sensor and instrumentation costs, the SDRE is combined with IOs to estimate the PMSM speed and position states. Customised IOs are proven to be capable of obtaining quality, continuous estimates of the motor states despite the discrete format of the output signals. The simulation results in this work illustrate an accurate state estimation and control mechanism for the speed of the PMSM in the presence of load torque disturbances and reference speed changes. It is clearly shown that the SDRE-IO design is superior compared to the most popular existing regulators in the literature for sensorless speed control.

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“…Combining on-line parameter identification technology with PMSM speed sensorless control can greatly improve the robustness and accuracy of the control system. Consequently, a variety of multi-parameter identification techniques such as extended Kalman filter (EKF) [29], [30], recursive least squares (RLS) [31], [32], and MRAS schemes [33]- [36] have been proposed. In [30], the EKF scheme gave appropriate experimental result in parameter identification.…”

Section: Introductionmentioning

confidence: 99%

“…However, due to the algorithm involves a large number of differential equations, the performance of microprocessor decreases and the system response is slow. In [33] and [34], a MRAS observer (MRASO) was introduced for estimating stator resistance and flux. Although this method has the advantages of small amount of calculation, fast response speed and high accuracy of identification results, the inductance cannot be estimated due to the lack of rank.…”

Section: Introductionmentioning

confidence: 99%

Second-Order ESO-Based Current Sensor Fault-Tolerant Strategy for Sensorless Control of PMSM With B-Phase Current

Liu

Nie

Wei

et al. 2022

IEEE/ASME Trans. Mechatron.

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A Newly Designed VSC-Based Current Regulator for Sensorless Control of PMSM Considering VSI Nonlinearity

Cited by 26 publications

References 40 publications

Switched PI Control Based MRAS for Sensorless Control of PMSM Drives Using Fuzzy-Logic-Controller

Switched PI Control Based MRAS for Sensorless Control of PMSM Drives Using Fuzzy-Logic-Controller

Observer-Based Suboptimal Controller Design for Permanent Magnet Synchronous Motors: State-Dependent Riccati Equation Controller and Impulsive Observer Approaches

Second-Order ESO-Based Current Sensor Fault-Tolerant Strategy for Sensorless Control of PMSM With B-Phase Current

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