Performance comparison of PMSM drive using PI and Fuzzy Logic based controllers

Singh, Surya Prakash; Gautam, A. K.; Dubey, Jyoti; Pandey, J. P.; Payasi, R. P.

doi:10.1109/upcon.2016.7894716

Cited by 19 publications

(10 citation statements)

References 14 publications

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“…Depending on fundamental knowledge and expert experience, fuzzy rules, as the bond between input and output, play a crucial rule for achieving satisfactory control performance. Fuzzy control rule base is a set of IF-THEN rules, which can be expressed as: The design of fuzzy rules for PMSM is depended on the following criteria [35]:…”

Section: Design Of Fuzzy Rulesmentioning

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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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: Design Of Fuzzy Rulesmentioning

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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“…3) When E and EC are small, large ΔKi and ΔKp should be adopted to decrease error and improve the response speed of control system. In the current controller, the MF with higher density near the origin can improve the steady-state accuracy [34]. The output surface of the fuzzy reasoning system is shown in Figure 8 and Figure 9.…”

Section: Figurementioning

confidence: 99%

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

Liu

Nie

Wei

et al. 2021

Preprint

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With the use of sensorless control mechanical position sensors can be removed from the gearbox, so as to decrease the maintenance costs and enhance the system robustness. In this paper, switched 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) An 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. In addition, the disturbance observer is established to compensate the nonlinear effect caused by voltage source inverter (VSI). Therefore, the robustness of PMSM vector control system is improved and the sensorless control precision is guaranteed. 2) A sensorless control strategy of a switched PI control based MRAS observer is proposed for stator resistance tracking, which can improve the accuracy of resistance estimation and improve the dynamic performance of sensorless control. 3) The experimental results are given to verify the availability of the proposed scheme.

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“…This work fulfills a superior speed response in the subsistence varying the inertia. In [36], S. P. Sing et al Investigated the fuzzy logic controller for the speed control of FOC PMSM. The Fuzzy Logic controller performance is also compared to a PI controller during no-load, full load, and varying load operation.…”

Section: Control Of Pmsmmentioning

confidence: 99%