Phumiphak, Punyaphat

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Phumiphak, Punyaphat
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Phumiphak, P.
Phumiphak, Phunyaphat
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punyaphat.ph@kmitl.ac.th

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    Performance evaluation of three-leg voltage source inverter fed unsymmetrical two-phase induction motor based on genetic algorithm for parameter estimation
    (2019-12-01)
    Kongsuk, Prayad
    ;
    Kinnares, Vijit
    ;
    Phumiphak, Phunyaphat
    This paper presents an evaluation method of performance characteristics in terms of loss, currents and electromagnetic torque of an unsymmetrical two-phase induction motor driven by a three-leg Voltage Source Inverter (VSI) providing unbalanced two-phase voltages. The model parameters for consideration of loss and dynamic performance of the motor are estimated by using Genetic Algorithm (GA). Also, synthesized winding current waveforms based on a super-position method and frequency domain of known harmonic voltages are investigated. The methodology of the proposed GA applied to parameter estimation of the unsymmetrical two-phase induction motor is fully given. Carrier-based unbalanced Space Vector Pulse With Modulation (SVPWM) is employed and implemented on a low-cost microcontroller. In order to prove the validity of the model with the parameters obtained by GA, performance comparison with the experiment and the model with the parameters obtained by conventional test in laboratory has been made. The results of simulation with the proposed parameters and experiment are in good agreement.
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    Low-intrusive approach for parameters estimation of induction motor using adaptive optimal design algorithm based on on-site measurements
    (2013-01-01)
    Chat-Uthai, C.
    ;
    Phumiphak, P.
    This paper presents a novel low-intrusive method for estimating the equivalent circuit parameters of induction motor which focuses on a simple means without expensive testing. This paper describes the use of on-site measurements data incorporated with the adaptive optimal design algorithm based on optimization process in order to estimate the best possible set of motor parameters for determining the mechanical output at each measured load. This algorithm includes the feasible boundary of design variables process for evaluating the suitable boundaries of motor parameters depending on its power rating. This proposed method has been verified by the experimental results from four low-voltage TEFC induction motors rated at 2. 2, 4. 0, 5. 5 and 7. 5 kW. The results indicate that the agreement between the estimated parameters and the calculated parameters obtained from the standard equivalent circuit method validates the proposed method over a wide range of load conditions. For comparison, the results of estimated mechanical output of actual motors are illustrated. Therefore, this simple procedure can provide the useful information for selecting the motor most suitable for its application. © 2013 Praise Worthy Prize S.r.l.-All rights reserved.
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    Non-intrusive method for induction motor field efficiency estimation using on-site measurement and modified equivalent circuit
    (2012-12-01)
    Phumiphak, P.
    ;
    Chat-Uthai, C.
    This paper proposes a non-intrusive method for low-voltage induction motor field efficiency estimation based on the modified equivalent circuit which includes the additional stray-load loss and friction and windage loss parameters for improving accuracy. This method focuses on a simple means without the expensive testing. This paper presents the use of on-site measurement data and speed measurement scheme using the motor current signature analysis (MCSA) incorporated with the proposed adaptive optimal design algorithm based on optimization process to evaluate the optimal parameters of modified circuit. This proposed method has been verified by using the shaft torque method results of low-voltage 2.2 (6-pole) and 4 kW (4-pole) motors. The results indicate that the estimated motor field efficiencies have sufficient accuracy (within 2 %) during the normal operations. Therefore, this simple procedure can provide the useful information for energy audit. © 2012 IEEJ Industry Appl Soc.