A Complete Fuzzy Logic Based Real-Time Simulation of Vector Controlled PMSM Drive

Mishra, Ambarisha; Dubey, Garima; Joshi, Dheeraj; Agarwal, Pramod; Sriavstava, S P

doi:10.1109/icpeices.2018.8897373

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…Besides the experimental trial-and-error method, the initial parameters of PI controller can also be estimated by simulations (see e.g. [33]). In practical application, the results can be directly employed to the control system design if the PI controller is utilized, however, they are only used a reference for setting up the initial values for the FLC.…”

Section: A Fuzzificationmentioning

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: A Fuzzificationmentioning

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.

View full text Add to dashboard Cite

show abstract

“…Besides the experimental trial-and-error method, the initial parameters of PI controller can also be estimated by simulations (see e.g. [31]). In practical application, the results can be directly employed to the control system design if the PI controller is utilized, however, they are only used a reference for setting up the initial values for the FLC.…”

Section: Clear Input X Xmentioning

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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“…According to the literature, various techniques for achieving more robust control in PMSMs have been proposed by researchers using different approaches. These approaches include the use of fuzzy controller [3][4][5] and Finite Control Set-Model Predictive Controller (FCS-MPC) [6]. Another more promising approach to achieve robust control of synchronous machines is to integrate Neural Networks with other control techniques such as PI and fuzzy controllers [7].…”

Section: Introductionmentioning

confidence: 99%

Comparative Investigation of DSP-Based Speed Control of PMSM Using Proportional Integral and Takagi-Sugeno Fuzzy Logic Controller

Askour

2024

IJEETC

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This paper presents the simulation and experimental results of speed control of a three-phase Permanent Magnet Synchronous Motor (PMSM). The control techniques employed in this work include a Proportional Integral (PI) controller and a Takagi-Sugeno Fuzzy Logic Controller (TS-FLC). While theory and simulation help in predicting the PI controller settings for real drive implementation, further adjustment of the PI controller coefficients is still needed for optimal performance. However, the complexity of PI controller tuning can be overcome by employing a fuzzy logic controller, which is less affected by variations in model parameters and load torque. Two variants of the proposed TS-FLC are implemented: a simple algorithm with 9 rules and a standard algorithm with 49 rules. The drive system utilizes Field Oriented Control (FOC). The control program is developed using the C/C++ programming language and executed on the Texas Instruments TMS320LF28335 Digital Signal Processor (DSP), known for its intelligent motor control capabilities. The drive system evaluation was performed through simulations and experimentation using the MCK28335 professional development kit provided by Technosoft Company. The simulation and experimental results of the proposed controllers are compared under various conditions, including speed reversal and load torque variations.

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A Complete Fuzzy Logic Based Real-Time Simulation of Vector Controlled PMSM Drive

Cited by 5 publications

References 18 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

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

Comparative Investigation of DSP-Based Speed Control of PMSM Using Proportional Integral and Takagi-Sugeno Fuzzy Logic Controller

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