Fuzzy logic based on-line efficiency optimization control of an indirect vector-controlled induction motor drive

Sousa, G.C.D.; Bose, B.K.; Cleland, John G.F.

doi:10.1109/41.370386

Cited by 228 publications

(58 citation statements)

References 6 publications

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“…4. This means that, at reduced speed light load steady state conditions, generator efficiency can be improved by programming the flux [10], which will be discussed later.…”

Section: B Turbine Characteristicsmentioning

confidence: 99%

“…Since most of the time the generator is running at light load, the machine rotor flux can be reduced from the rated value to reduce the core loss and thereby increase the machine-converter system efficiency [10]. The principle of online search based flux programming control by a second fuzzy controller FLC-2 is explained in Fig.…”

Section: B Generator Flux Programming Control (Flc-2)mentioning

confidence: 99%

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Fuzzy logic based intelligent control of a variable speed cage machine wind generation system

Simões

Bose

Spiegel

1997

IEEE Trans. Power Electron.

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422

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Abstract-The paper describes a variable speed wind generation system where fuzzy logic principles are used for efficiency optimization and performance enhancement control. A squirrel cage induction generator feeds the power to a double-sided pulse width modulated converter system which pumps power to a utility grid or can supply to an autonomous system. The generation system has fuzzy logic control with vector control in the inner loops. A fuzzy controller tracks the generator speed with the wind velocity to extract the maximum power. A second fuzzy controller programs the machine flux for light load efficiency improvement, and a third fuzzy controller gives robust speed control against wind gust and turbine oscillatory torque. The complete control system has been developed, analyzed, and validated by simulation study. Performances have then been evaluated in detail.

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“…4. This means that, at reduced speed light load steady state conditions, generator efficiency can be improved by programming the flux [10], which will be discussed later.…”

Section: B Turbine Characteristicsmentioning

confidence: 99%

Section: B Generator Flux Programming Control (Flc-2)mentioning

confidence: 99%

Fuzzy logic based intelligent control of a variable speed cage machine wind generation system

Simões

Bose

Spiegel

1997

IEEE Trans. Power Electron.

Self Cite

422

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“…This strategy is increasingly applied for induction machines thanks to its several advantages such as (i) simple control scheme which makes it possible rapid real-time implementation, (ii) fast dynamic torque response and (iii) high robustness and stability against the load torque variations [3,4] and reference mechanical speed changes. The presented strategy has been successively extended to different kinds of AC machines in various applications [5,6], including variable reluctance machines [7] and permanent magnet synchronous machines [8], which is becoming popular for variable speed drive systems due to its high efficiency, high power factor, and more robustness.…”

Section: Introductionmentioning

confidence: 99%

Direct Torque Control Strategy Based on the Emulation of Six-Switch Inverter Operation by a Four-Switch Inverter Using an Adaptive Fuzzy Controller

Charmi¹,

Badsi²,

Yangui³

2018

Adv. sci. technol. eng. syst. j.

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This paper presents a novel direct torque control (DTC) strategy aimed to four-switch threephase (FSTP) inverter-fed an interior permanent magnet synchronous machine (IPMSM), using a fuzzy logic toolbox in speed control loop. In fact, the introduced DTC approach is based on the emulation of the operation of the standard six-switch three-phase (SSTP) inverter. This fact has been produced thanks to suitable combinations of four unbalanced voltage vectors intrinsically generated by the FSTPI, leading to the synthesis of six balanced voltage vectors yielded by the SSTPI. It has been found from the simulation results that the adaptive fuzzy speed controller implemented for basic and proposed DTC strategies dedicated to FSTPI-fed an IPMSM drives, exhibits interesting performances over different

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“…In addition, the torque pulsation caused by the stepwise change in a fluxproducing current is avoided using a low pass filter for the flux-producing current reference. Fuzzy [16], [20] and neuro-fuzzy [18] methods have been proposed to achieve convergence improvement. In [16], the optimum flux current reference was reached after six steps (2.5 s).…”

Section: Introductionmentioning

confidence: 99%

“…Fuzzy [16], [20] and neuro-fuzzy [18] methods have been proposed to achieve convergence improvement. In [16], the optimum flux current reference was reached after six steps (2.5 s). In [20], the optimum point was obtained after 11 steps (5.5 s).…”

Section: Introductionmentioning

confidence: 99%

A Study on Fast Maximum Efficiency Control of Stator-Flux-oriented Induction Motor Drives

Shin¹

2011

Journal of Electrical Engineering and Technology

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-This paper presents a novel maximum efficiency control scheme for convergence improvement in stator-flux-oriented induction motor drives. Three input powers are calculated at three different flux levels, respectively. A quadratic curve is obtained using the quadratic interpolation method using the three points. The flux level at the lowest point of the interpolated curve is calculated, which is not the real minimum input power of the motor, but an estimated one. Hence, the quadratic interpolations are repeated with three new points chosen using the selection method for new points for refitting until the convergence criteria are satisfied. The proposed method is verified by simulation results.

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Fuzzy logic based on-line efficiency optimization control of an indirect vector-controlled induction motor drive

Cited by 228 publications

References 6 publications

Fuzzy logic based intelligent control of a variable speed cage machine wind generation system

Fuzzy logic based intelligent control of a variable speed cage machine wind generation system

Direct Torque Control Strategy Based on the Emulation of Six-Switch Inverter Operation by a Four-Switch Inverter Using an Adaptive Fuzzy Controller

A Study on Fast Maximum Efficiency Control of Stator-Flux-oriented Induction Motor Drives

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