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Author: search.filters.author.Phumiphak, P.

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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.
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    Induction motor speed measurement using motor current signature analysis technique
    (2009-12-01)
    Phumiphak, P.
    ;
    Chat-uthai, C.
    As the procedure of nonintrusive method for field efficiency estimation of induction motor requires the actual motor speed from direct measurement by using shaft-mounted speed encoder or optical tachometer which reduces the reliability and also increases the cost. In this paper, the sensorless speed measurement scheme using implementation of motor current signature analysis (MCSA) is proposed. Both line-fed (sinusoidal) and inverter-fed (nonsinusoidal) motors with different operating frequencies are considered. In this technique, neither equivalent circuit parameters nor structures of machine are required. Moreover for inverterfed motor, the information of inverter such as switching frequency and switching PWM scheme are not required. This proposed technique is verified from the experimental results of measured speeds of 2.2 and 4.0 kW three-phase induction motors operated under various load torques. The experimental results show that the overall speed estimation accuracy is approximately within 2 rpm errors.
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    Optimal capacitances compensation for short-shunt self-excited induction generator under inductive load
    (2009-12-01)
    Phumiphak, P.
    ;
    Chat-uthai, C.
    This paper presents a technique for evaluating the optimal values of capacitances necessary to maintain the power quality of voltage regulation of the short-shunt self-excited induction generator (SEIG) feeding to the desired pu load under various lagging power factor conditions. The optimal values of shunt and series capacitances, and the optimal relation of ratio of air gap voltage to frequency with magnetizing reactance for the minimum voltage regulation of SEIG are evaluated by using the technique of genetic algorithm (GA) based on the equivalent circuit parameters of machine. Experimental results of 0.75 kW, short-shunt SEIG are performed to confirm the effectiveness of this proposed technique. The results are experimentally verified, which illustrate that the voltage regulations of SEIG under different inductive loads are within the limit of ± 0.06 pu.
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    Performance estimation method for in-service single-phase induction motors
    (2008-12-01)
    Phumiphak, P.
    ;
    Chat-uthai, C.
    This paper proposes a performance estimation method for single-phase induction motors in the field at any operating load using a set of data from in-service measurement. This paper describes the use of the improved equivalent circuit models based on double-revolving-field theory which a core loss element is properly added in order to provide more accurate results. The appropriate values for the model parameters can be evaluated by the use of measured data coupled with the genetic algorithms. The estimated performance result of several motors are presented and then compared to the measured values obtained from load tests, and clearly illustrate that agreement between the proposed method and the actual one is good. © 2008 IEEE.
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    Nonintrusive method for estimating field efficiency of inverter- fed induction motor using measured values
    (2008-12-01)
    Phumiphak, P.
    ;
    Chat-uthai, C.
    This paper presents a nonintrusive method for estimating field efficiency of inverter-fed induction motor at various operating frequencies and loads using only a set of data from field measurement. The performances of motor such as torque and efficiency can be estimated by using measurement data coupled with the use of genetic algorithm based on the modified motor equivalent circuit concept. The 2.2 and 4.0 kW motors fed by inverter were tested in laboratory under frequencies of 30, 40, 50, and 60 Hz. The subway tunnel ventilation fan motors controlled by variable speed drive were also on-site investigated. The estimated performances found to give a better correlation over a wide range of speeds and loads. © 2008 IEEE.