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Improved Clamped Diode Based Z-Source Network for three phase induction motor

Intelligent Automation & Soft Computing 2023年第4期36卷 683-702页

作者： D.Bensiker Raja Singh R.Suja Mani Malar Anna University Chennai600025TamilnaduIndia DMI College of Engineering Chennai600123TamilnaduIndia

The 3Φinduction motor is a broadly used electric machine in industrial applications,which plays a vital role in industries because of having plenty of beneﬁcial impacts like low cost and easiness but the problems like decrease in motor speed due to load,high consumption of current and high ripple occurrence of ripples have reduced its *** ultimate objective of this study is to control change in motor speed due to load *** improved Trans Z Source Inverter(ΓZSI)with a clamping diode is employed to maintain constant input voltage,reduce ripples and voltage *** operate induction motor at rated speed,different controllers are *** conventional Proportional-Inte-gral(PI)controller suffers from high settling time and maximum peak *** overcome these limitations,Fractional Order Proportional Integral Derivative(FOPID)controller optimized by Gray Wolf Optimization(GWO)technique is employed to provide better performance by eliminating maximum peak overshoot *** proposed speed controller provides good dynamic response and controls the induction motor more *** complete setup is implemented in MATLAB Simulation to verify the simulation *** proposed approach provides optimal performance with high torque and speed along with less steady state error.

关键词： three phase induction motor voltage source inverter improvedΓZSI with clamping diode PI controller fractional order PID controller gray wolf optimizer

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Testing and Analysis of induction motor Electrical Faults Using Current Signature Analysis

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Circuits and Systems 2016年第9期7卷 2651-2662页

作者： K. Prakasam S. Ramesh Department of EEE K.S.R. College of Engineering Tiruchengode India

The proposed method deals with the emerging technique called as motor Current Signature Analysis (MCSA) to diagnosis the stator faults of induction motors. The performance of the proposed method deals with the emerging technique called as motor Current Signature Analysis (MCSA) and the Zero-Sequence Voltage Component (ZSVC) to diagnose the stator faults of induction motors. The unalleviated study of the robustness of the industrial appliances is obligatory to verdict the fault of the machines at precipitate stages and thwart the machine from brutal damage. For all kinds of industry, a machine failure escorts to a diminution in production and cost increases. The motor Current Signature Analysis (MCSA) is referred as the most predominant way to diagnose the faults of electrical machines. Since the detailed analysis of the current spectrum, the method will portray the typical fault state. This paper aims to present dissimilar stator faults which are classified under electrical faults using MCSA and the comparison of simulation and hardware results. The magnitude of these fault harmonics analyzes in detail by means of Finite-Element Method (FEM). The anticipated method can effectively perceive the trivial changes too during the operation of the motor and it shows in the results.

关键词： three phase induction motor motor Current Signature Analysis (MCSA) ZSVC Fault Diagnosis Current Spectrum Analysis

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