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Author: search.filters.author.Kittiratsatcha, S.Subject: search.filters.subject.Cubic spline

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    Position estimation technique of a switched reluctance motor at standstill
    (2007-10-01)
    Trakrancharoungsook, K.
    ;
    Kittiratsatcha, S.
    This paper proposes the rotor-position estimation technique for a switched reluctance machine (SRM). This technique can be implemented with the system with an incremental encoder or sensorless system. The results are the proper starting phase and exact starting rotor position. The phase winding is energized by the narrow voltage pulse then phase currents are detected and calculated to find the rotor position by using the cubic spline interpolation technique. The proper phase is chosen for a starting phase. This proposed idea is done in the MATLAB/Simulink program. © 2007 IEEE.
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    A magnetic model of a three-phase switched-reluctance machine using cubic spline interpolation technique
    (2005-12-01)
    Khotpanya, S.
    ;
    Kittiratsatcha, S.
    ;
    Kazuhisa, Ishibashi
    This paper presents a simple model of three phase switched reluctance machine by using polynomial flux linkage equation. The nonlinear function of flux linkage depends on phase current and the rotor position. The model requires pre-calculated or measured input data therefore Finite Element Analysis (FEA) has been used for data collection. Curve fitting method is implemented to model the magnetizing curves. Since the magnetizing curves are smooth and continuous then flux linkage at particular position and phase current can be estimated by using cubic spline interpolation technique. Moreover, this technique can be used to model torque of the SRM. The comparison between proposed model and FEA reveals the model accuracy. © 2005 IEEE.
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    A torque estimation method for a switched reluctance machine
    (2005-12-01)
    Kaewthai, S.
    ;
    Kittiratsatcha, S.
    This paper proposes the estimation of online instantaneous torque of a 12/8 three-phase switched-reluctance machine (SRM). The torque estimator achieved from the cubic spline interpolation technique. By using this method, we could reduce the need of too many input data which spending much time for data collection. The machine model is simulated in Matlab/Simulink to observe the dynamic behavior and also implemented using ADMC401 fixed-point digital signal processing (DSP) to verify the model. The agreement between simulation and experiment results has confirmed the accuracy of the proposed model and could be applied in various torque control applications. © 2005 IEEE.