Performance analysis of a transmission line connected with UPFC designed with three level cascaded H bridge inverter with generalized SVM technique using PI, FUZZY LOGIC, ANN and ANFIS controllers

Tokachichu, JaganMohanRaju; Gaddam, Tulasi Ram Das

doi:10.1016/j.matpr.2021.07.338

Cited by 11 publications

(3 citation statements)

References 9 publications

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“…Though, many versions of ANFIS are used on various applications and domains; on the same road, authors tried to explore the major versions of the ANFIS algorithm on multiple applications. Jagan M. R. T. et al [36] used the adaptive fuzzy algorithm for the transmission line controllers, where the authors implemented the results on a MATLAB simulator. Zhan Zhang et al [37] explained the system based on the ANFIS model which takes the 3D pulse image of Chinese medicine.…”

Section: Fuzzy Logic Algorithmmentioning

confidence: 99%

Analysis of the S-ANFIS Algorithm for the Detection of Blood Infections Using Hybrid Computing

Khatter¹,

Gupta

Garg³

et al. 2022

Electronics

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Environment and climate change have caused a rise in a wide range of diseases and infections. In countries where overpopulation is a problem, many infections spread severely. The main focus of this paper is the detection and identification of blood diseases. An automated system that examines all potential diseases using patient information and data is needed to deal with unpredictable circumstances. Having an automated and intelligent system that evaluates the reports and counsels doctors in any other area or nation is a demand of the time. The same solutions can be identified by the proposed system. To apply the adaptive neuro-fuzzy inference system (ANFIS) and related techniques to predict chronic diseases early, the authors have gone through various existing models and case studies on diabetics and other patients. The proposed approach, called S-ANFIS which is using the hybrid approach, is based on ANFIS and includes content curation and intelligence analysis in addition to comparison with current models. As a result, the suggested model outperforms other approaches in terms of disease prediction accuracy, with a score of 88.6%.

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Section: Fuzzy Logic Algorithmmentioning

confidence: 99%

Analysis of the S-ANFIS Algorithm for the Detection of Blood Infections Using Hybrid Computing

Khatter¹,

Gupta

Garg³

et al. 2022

Electronics

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“…The most common controller used for power applications is proportional-integrated-derivative (PID) method since it is simple, affordable, and provides acceptable efficiency [10,11]. Furthermore, an appropriate regulation, proper tracking along with a suitable operation reported for them.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

Azarinfar,

Khosravi,

Soroush

et al. 2024

IET Power Electronics

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A type‐2 fuzzy logic‐based adaptive backstepping control (T2FABSC) approach is designed for an H‐bridge inverter. This inverter has an LC filter to decrease the level of total harmonic distortion (THD) that can affect the efficiency of the system. Reduction of THD and stability insurance of the filter are challenging trade‐offs, tackled here by a controller design. The performance, however, is not suitable for actual applications under a wider range of disturbances, and the parameters need to be adjusted once more for more dependable operations. Backstepping control is given a Lyapunov definition‐based adaptive mechanism that can improve this scheme's stability and robustness in the face of numerous disturbances. Additionally, the system is viewed as a “Black box” without the need for a precise mathematical model, which might lead to a lighter computing burden and simpler implementation. Moreover, a fuzzy type‐2 structure is adopted that can optimize the gains of the adaptive Backstepping controller (ABSC) in challenging conditions. The antlion optimization algorithm is employed to optimize the parameters of the membership functions in the fuzzy system, hence improving the performance of the controller. In addition, compared with different optimization algorithms, it can more quickly and accurately locate the best solutions. Finally, the findings of both the simulations and the experimental outputs are examined, proving the T2FABSC's significant robustness and faster dynamics in a variety of challenging circumstances.

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“…The capacity to invert the direction of power transmission through the MC is one of the many advantages of the MC over typical AC-AC converter topologies (Alesina & Venturini, 1989). The effect of the nonlinearities has been minimized successfully when applying the fuzzy logic controller (Tokachichu & Gaddam, 2022 ;Kerboua & Abid, 2012). The superiority of the studied control strategy over the traditional PI regulator has also been proved through a number of numerical simulation results.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Powers Exchanged between a Cascaded Doubly Fed Induction Generator and the Grid with a Matrix Converter

MAAFA,

ABDELGHANI,

HACENE

et al. 2023

EPSTEM

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The use of an electromagnetic converter of great reliability in wind energy, like the cascaded doubly fed induction generator (CDFIG), can solve several problems compared to the doubly fed induction generator (DFIG), among them the elimination of the brushes and copper rings. The work consists of studying the performance of a CDFIG-based wind system using a matrix converter and a variable pitch control system. The traditional PI is able to successfully solve a number of linear control problems. The fuzzy logic controller used can dramatically improve the system's performance. The active and reactive energy transferred between the CDFIG and the grid can be controlled by adjusting the machine inverter. The DC bus voltage has been kept stable by controlling the grid inverter. The pitch controller's objective is to maximise aerodynamic power while staying within the converter's power limits. Numerical simulation results implemented in the MATLAB/Simulink package will be provided in this study to show that the suggested control strategy is both possible and effective.

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Performance analysis of a transmission line connected with UPFC designed with three level cascaded H bridge inverter with generalized SVM technique using PI, FUZZY LOGIC, ANN and ANFIS controllers

Cited by 11 publications

References 9 publications

Analysis of the S-ANFIS Algorithm for the Detection of Blood Infections Using Hybrid Computing

Analysis of the S-ANFIS Algorithm for the Detection of Blood Infections Using Hybrid Computing

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

Optimization of the Powers Exchanged between a Cascaded Doubly Fed Induction Generator and the Grid with a Matrix Converter

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