Flux Linkage Profile Estimation of Switched Reluctance Generator for Wind Energy Conversion System

Susitra, D.; Jebaseeli, E. Annie Elisabeth

doi:10.17485/ijst/2015/v8i36/87560

Cited by 3 publications

(3 citation statements)

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“…Unavoidable overshoot and larger steady-state error. [67] Peak-Current Estimation Improve the steady-state peak-current of the SRG…”

Section: Control Methods Advantage Disadvantage Referencementioning

confidence: 99%

“…In contrast to motor mode, each phase of the SRG begins to flow current when its phase inductance is close to its maximum value. This high As proposed in [67], the SRG flux linkage model is developed based on a Fuzzy Inference System (FIS). The FIS has been developed using different membership functions such as trapezoidal, triangular, Gbell, psigmoid, and Gaussian.…”

Section: Torque Control Strategiesmentioning

confidence: 99%

“…As proposed in [67], the SRG flux linkage model is developed based on a Fuzzy Inference System (FIS). The FIS has been developed using different membership functions such as trapezoidal, triangular, Gbell, psigmoid, and Gaussian.…”

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confidence: 99%

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Integration of Switched Reluctance Generator in a Wind Energy Conversion System: An Overview of the State of the Art and Challenges

et al. 2022

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This paper presents a technical overview for Switched Reluctance Generators (SRG) in Wind Energy Conversion System (WECS) applications. Several topics are discussed, such as the main structures and topologies for SRG converters in WECS, and the optimization control methods to improve the operational efficiency of SRGs in wind power generation systems. A comprehensive overview including the main characteristics of each SRG converter topology and control techniques were discussed. The analysis presented can also serve as a foundation for more advanced versions of SRG control techniques, providing a necessary basis to spur more and, above all, motivate the younger researchers to study magnetless electric machines, and pave the way for higher growth of wind generators based on SRGs.

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“…Unavoidable overshoot and larger steady-state error. [67] Peak-Current Estimation Improve the steady-state peak-current of the SRG…”

Section: Control Methods Advantage Disadvantage Referencementioning

confidence: 99%

Section: Torque Control Strategiesmentioning

confidence: 99%