Fuzzy Self-Tuning Speed Control of an Indirect Field-Oriented Control Induction Motor Drive

Masiala, M.; Vafakhah, B.; Salmon, John; Knight, A.M.

doi:10.1109/tia.2008.2006342

Cited by 108 publications

(38 citation statements)

References 22 publications

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“…The major merits of AICs are that they are independent of the plant mathematical model and their performances are robust under system nonlinearities and uncertainties [18], [24][25][26][27][28][29]. AICs techniques for SSTP inverters fed IM drive systems include FLC [18,24], Self-Tuned Neuro-Fuzzy Controller [25][26][27], Emotional Intelligent Controller [28], and Adaptive Fuzzy Sliding-Mode Control [29]. Also, FLC for IPMSM-based FSTP inverters has been developed in [30].…”

Section: Introductionmentioning

confidence: 99%

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A Performance Investigation of a Four-Switch Three-Phase Inverter-Fed IM Drives at Low Speeds Using Fuzzy Logic and PI Controllers

Zaky¹,

Metwaly²

2017

IEEE Trans. Power Electron.

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This paper presents a speed controller using a fuzzy-logic controller (FLC) for indirect field oriented control (IFOC) of induction motor (IM) drives fed by a four-switch three-phase (FSTP) inverter. In the proposed approach, the IM drive system is fed by FSTP inverter instead of the traditional six-switch three-phase (SSTP) inverter for a cost-effective low power applications. The proposed FLC improves dynamic responses and, it is also designed with reduced computation burden. The complete IFOC scheme incorporating the FLC for IM drives fed by the proposed FSTP inverter is built in Matlab/Simulink and, it is also experimentally implemented in real-time using a DSP-DS1103 control board for a prototype 1.1 kW IM. The dynamic performance, robustness, and insensitivity of the proposed FLC with FSTP inverter fed IM drive is examined and compared to a traditional PI controller under speed tracking, load disturbances, and parameters variation, particularly at low speeds. It is found that the proposed FLC is more robust than the PI controller under load disturbances, and parameters variation. Moreover, the proposed FSTP IM drive is comparable with a traditional SSTP IM drive, considering its good dynamic performance, cost reduction and low THD.

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Section: Introductionmentioning

confidence: 99%

“…Previous works have been reported on the application of FLC-based IM drive [18], [24][25][26][27][28][29]. Also, few works have been presented for the FLC-based IM fed from FSTP inverter.…”

Section: Introductionmentioning

confidence: 99%

A Performance Investigation of a Four-Switch Three-Phase Inverter-Fed IM Drives at Low Speeds Using Fuzzy Logic and PI Controllers

Zaky¹,

Metwaly²

2017

IEEE Trans. Power Electron.

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“…The choice of poor fuzzy rules usually results in unsatisfactory control performance. Therefore, methods including selftuning fuzzy control [4] [5] or the addition of adaptive control theory [6] [7] or artificial neural networks [8] [9] are employed to adjust the controller gain through on-line selflearning.…”

Section: Introductionmentioning

confidence: 99%

Permanent magnet synchronous motor modeling and control

Chung

2014

2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)

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The objective of this study is to achieve permanent magnet synchronous motor (PMSM) speed control in PSIM using a self-tuning PI controller with dual feedforward artificial neural network (DFNN). The two parameters of the PI controller gain, kp and ki, can be controlled online by selftuning in the motor control system verification. The speed response, robustness of anti-load disturbance performance are better compared to a single feedforward artificial neural network (SFNN). Keywords-PMSM; Field-oriented-control; Feedforward a rti fici al n eu ral n et wo rks ; Sel f-t un in g PI c o ntr oll er

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“…The FLC is well-known with its potential to obtain superior speed control in HPDs including DC motors [8], induction motors [9][10], permanent magnet synchronous motors [11][12][13] brushless DC motor [14] and others. There are a lot of performance analyses as well comparative studies either through simulation or experimental verifications.…”

Section: Introductionmentioning

confidence: 99%

dSPACE DSP based implementation of simplified fuzzy logic speed controller for vector controlled PMSM drives

Isa

Ibrahim

Lazi

et al. 2012

2012 IEEE International Conference on Power and Energy (PECon)

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This paper deals with the dSPACE DS1103 based implementation of a simplified fuzzy logic speed controller (Simplified FLSC) for vector controlled permanent magnet synchronous motor (PMSM) drives. The simplification of FLSC obtains minimization and adjustment of the membership function used by each fuzzy variable for the drive system. The mathematical model of PMSM drives has been simulated in the MATLAB environment using Simulink and Fuzzy Logic Toolbox to analyze the performance of the drive system. The simulated results are then validated with the experimental investigation. For experimentation, the FLSC, co-ordinate transformation and hysteresis current controller (HCC) have been implemented in MATLAB environment with Simulink, Fuzzy Logic Toolbox andReal-time interface. Meanwhile, the hardware implementation consisting of dSPACE digital signal processor, voltage source inverter, resolver-to-linear DC converter, current sensors and PMSM equipped with speed resolver. The PMSM drive system has been tested under various operating conditions and load disturbances.

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Fuzzy Self-Tuning Speed Control of an Indirect Field-Oriented Control Induction Motor Drive

Cited by 108 publications

References 22 publications

A Performance Investigation of a Four-Switch Three-Phase Inverter-Fed IM Drives at Low Speeds Using Fuzzy Logic and PI Controllers

A Performance Investigation of a Four-Switch Three-Phase Inverter-Fed IM Drives at Low Speeds Using Fuzzy Logic and PI Controllers

Permanent magnet synchronous motor modeling and control

dSPACE DSP based implementation of simplified fuzzy logic speed controller for vector controlled PMSM drives

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