On The Design Of Fault Tolerant Systolic Array For Fuzzy Logic

Torque ripple reduction is one of the major challenges in switching table-based direct torque control (DTC) while operating for open phase faults of an induction motor, as the switching vectors are unevenly distributed. This can be minimized by increasing the level of the inverter and with the use of multi-phase motors. Fuzzy logic-based DTC is another solution to the above problem. In this paper, a comparative analysis is done between switching table-based DTC (ST-DTC) and fuzzy logic-based DTC for increasing the performance during open phase faults of a five-phase induction motor. The result shows that in fuzzy logic-based DTC with a two-level inverter, the torque ripple is reduced by 5.164% as compared with ST-DTC with a three-level inverter. The fuzzy logic-based DTC with the three-level inverter also gives better performance as compared with fuzzy logic-based DTC with the two-level inverter. The current ripple also reduced by 9.605% with respect to ST-DTC. Thus, fuzzy logic-based DTC is more suitable and cost effective for open phase fault-tolerant drives.

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A fuzzy logic approach to fault-tolerant scheduling of semi-automated assembly systems*

10.1109/systol52990.2021.9594957 ◽

2021 ◽

Author(s):

Pawel Majdzik ◽

Bogdan Lipiec ◽

Marcin Witczak ◽

Lothar Seybold ◽

Ralf Stetter ◽

...

Keyword(s):

Fuzzy Logic ◽

Fault Tolerant ◽

Assembly Systems ◽

Automated Assembly ◽

Fuzzy Logic Approach ◽

Logic Approach

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Fuzzy Logic Based-Active Fault Tolerant Control of Speed Sensor Failure for Five-Phase PMSM

Journal of Electrical Engineering and Technology ◽

10.1007/s42835-020-00559-7 ◽

2020 ◽

Vol 16 (1) ◽

pp. 287-299

Author(s):

Yemna Bensalem ◽

Rabeh Abbassi ◽

Houssem Jerbi

Keyword(s):

Fuzzy Logic ◽

Active Fault ◽

Fault Tolerant ◽

Fault Tolerant Control ◽

Sensor Failure ◽

Speed Sensor ◽

Active Fault Tolerant Control

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Design of Robust Fuzzy Logic Controller Based on the Levenberg Marquardt Algorithm and Fault Ride Trough Strategies for a Grid-Connected PV System

Electronics ◽

10.3390/electronics8040429 ◽

2019 ◽

Vol 8 (4) ◽

pp. 429 ◽

Cited By ~ 9

Author(s):

Islam ◽

Zeb ◽

Din ◽

Khan ◽

Ishfaq ◽

...

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Fault Tolerant ◽

Optimization Technique ◽

Line Length ◽

Photovoltaic System ◽

Pv System ◽

Simulink Model ◽

Marquardt Algorithm ◽

Levenberg Marquardt

This paper emphasizes the design and investigation of a new optimization scheme for a grid-connected photovoltaic system (PVS) under unbalance faults. The proposed scheme includes fuzzy logic controller (FLC) based on the Levenberg–Marquardt (LM) optimization technique in coordination with bridge-type-fault-current limiter (BFCL) as the fault ride through (FRT) Strategy. The LM optimization-based control is an iterative process with a fast and robust response and is always convergent. The BFCL reduces the fault currents to rated values without compromising at ripples. A keen and critical comparison of the designed strategy is carried out with a conventionally tuned proportional-integral (PI) controller in coordination with the crowbar FRT strategy. A 100kW MATLAB/Simulink model of a photovoltaic system is used for simulation and analysis of unbalance faults at the point of common-coupling (PCC) and at 5 km away from PCC. It is found that grid-connected PVS is highly influenced by the fault type and less effected by the distribution line length. The simulation results authenticated smooth, stable, ripples with free, robust, and fault-tolerant behavior of the proposed scheme.

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