Fuzzy logic based sensorless MPPT algorithm for wind turbine system driven DFIG

Dida, Abdelhak; Benattous, Djilani

doi:10.1109/ceit.2015.7233139

Cited by 10 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sample size was calculated using previous literature (Dida and Benattous 2015). In this work there are no human or animals samples used so no ethical approval is required.…”

Section: Methodsmentioning

confidence: 99%

Voltage Stabilization in PV based Buck Boost Converter Using Pi and FLC Controllers due to Input Voltage Variation

Himabindhu¹,

Rubavathy²

2021

revistageintec

View full text Add to dashboard Cite

The aim of this paper is to present innovative voltage stabilization in PV fed buck boost converter systems due to input voltage variation. One of the Artificial intelligence (AI) controllers known as fuzzy logic controller is used in this project. Materials & Methods: Proportional Integral (PI) and Fuzzy Logic Controller (FLC) based MPPT algorithm are implemented to analyze the Buck Boost converter output voltage under varying input conditions. Results: Based on the results obtained, it is inferred that the FLC based Buck Boost converter efficiently stabilizes the voltage under varying insolation conditions in the PV panel. Conclusion: FLC based MPPT provides better stabilization (35.67V) compared to PI algorithm (31.65V) for the selected data set.

show abstract

“…Sample size was calculated using previous literature (Dida and Benattous 2015). In this work there are no human or animals samples used so no ethical approval is required.…”

Section: Methodsmentioning

confidence: 99%

Voltage Stabilization in PV based Buck Boost Converter Using Pi and FLC Controllers due to Input Voltage Variation

Himabindhu¹,

Rubavathy²

2021

revistageintec

View full text Add to dashboard Cite

show abstract

“…Tip-Speed Ratio (TSR) control is among the most popular MPPT techniques to determine the optimum value of system variables due to its ease of implementation and high tracking performance. However, [7] indicates that TSR control has higher response time and overall efficiency among very limited options under this category. To achieve the least steady-state response, several types of conventional controllers are already being analyzed in the literature.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Fuzzy-PID based MPPT Enhancement of Grid-Connected DFIG Wind Energy Eystem with TLBO Optimization

Bhati¹,

Gaur²

2020

IJERT

View full text Add to dashboard Cite

This research article emphasizes the enhancement of Maximum Power Point Tracking (MPPT) action using a Fuzzy supervised PID (f-PID) controller for a grid-connected 2MW Doubly fed Induction Generator (DFIG) connected to a passive filter and grid via Back-to-Back PWM Converter topology. This article also proposes the implementation of Teaching Learningbased optimization (TLBO) technique for tuning gain parameters of the proposed as well as extant controllers used in the MPPT algorithm. The primary objective is to improvise the conventional Rotor side current-based field-oriented control (MSC) of the understudy system, by employing a modified Tip-Speed Ratio (TSR) based MPPT algorithm with wind speed estimator. This algorithm ensures extraction and regulation of maximum active power while minimizing stator reactive power drawn under a step-wise variable wind speed profile. It is realized by employing a PID controller to restrict rotor angular speed variation around its optimal value, estimated by a fuzzy logic system. After the completion of a comprehensive simulation analysis using MATLAB/Simulink R2017a, the performance of the proposed controller in steady as well as transient states is being fairly found to be superior as compared to that of PID and Non-linear PID (NPID) based controllers in terms of settling time, MPP steady-state error and tracking efficiency.

show abstract