Kittiratsatcha, Supat

Preferred name

Alternative Name

Kittiratsatcha, S.

Main Affiliation

School of Engineering

supat.ki@kmitl.ac.th

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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 novel output power control for variable-speed switched reluctance generators using artificial neural network
(2014-01-01)
Kerdtuad, P.
;
Kittiratsatcha, S.
This paper presents a novel output power control method for variable-speed switched reluctance generators (SRG). In the single pulse mode, the conduction angles dictate the waveform of phase current which directly influences the output power. With the proposed method, the conduction angles can be estimated from the output power profiles at several speeds using an artificial neural network (ANN). The output power profiles are simulated from a dynamic model of an 8/6 SRG and used as the training data of the network. The inputs of the network are the output power and rotor speed, and its outputs are the turn-on and turn-off angles. The proposed control scheme was developed by incorporating the trained network into the dynamic model before the simulation in MATLAB/Simulink. The experiments with the 8/6 SRG were carried out using TMS320F2812 DSP to control the SRG drive system. In addition, the optimal trained weights and biases of the network are utilized in the DSP program. The comparisons of the simulation and experimental results are made to verify the proposed method.
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Tractive force estimation for hybrid PM-electromagnetic suspension system maglev train prototype
(2020-07-01)
Kerdtuad, Paiwan
;
Kittiratsatcha, Supat
This paper presents a tractive force estimation method for a hybrid PM-electromagnetic suspension system within a maglev train prototype. The main structure of the levitation system consisted of levitation cores, levitation coils, and inserted permanent magnets installed on both sides of the train. The key variable affecting tractive force were magnetic flux density from the levitation coils and permanent magnets, the cross section of the levitation cores, and the permeability of air gaps. To estimate traction force, the magnetic circuits of the levitation systems were first analyzed accounting for air gap variation as a results of total train weight, as tractive force across air gaps would need to balance the weight of the train. The simulations were carried out using a finite element analysis (FEA) program with constant air gaps of 10mm, at which permanent magnets were installed. The simulation and estimation results were compared to verify the accuracy of the proposed estimation method.
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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.
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Position estimation technique of a switched reluctance motor at standstill
(2007-10-01)
Trakrancharoungsook, K.
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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 design method of a two-phase switched-reluctance machine
(2003-01-01)
Kittiratsatcha, S.
;
Torrey, D. A.
This paper presents a new approach to the magnetic design of the rotor shape tor a two-phase switched reluctance machine (SRM). The magnetically linear machine design is established by using "flux tube analysis." Flux tube analysis has been used to calculate the appropriate size and shape of the rotor poles, so the new design is guaranteed to self-start in a known direction and provide smoother torque production. The linear model provides a quick solution for the designer before the nonlinear properties of the core are added and verified using finite element analysis (FEA). A curve fitting method is used to model the magnetic characteristics of the machine, A sample design is carried out using the approach and a comparison is made with a three-phase SRM that has the same output.
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Computation program for breakdown voltages of a gas insulation under different pressures and slightly nonuniform electric fields
(2018-07-02)
Chamnong, C.
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Chuayin, C.
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Nganpitak, T.
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Sontayananon, N.
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Kittiratsatcha, S.
This paper proposes a program for computing the breakdown voltage of a gas insulation under slightly nonuniform electric field. The development of the program is based on the knowledge of gas ionization and streamer breakdown theories, so it can compute the breakdown voltage of an ideally-simulated gas-insulated system, under a certain gas pressure level that the streamer constant is known. To verify this program, several simulations of sphere-sphere electrode systems were made using COMSOL Multiphysics with differences in sphere dimensions and gap spacings referred from IEC-60052 standard. Then the AC breakdown voltage of each simulation was computed using the breakdown voltage computation function under the pressure of 101.3 kPa according to the standard. Next, the computed AC breakdown voltages were compared with the AC breakdown data from the standard. The differences between the computed and the standard AC breakdown voltages were less than 3% in all simulated cases. Then the program was developed further by creating a new function that could estimate the streamer constant of a practical gas-insulated system under various gas pressure levels and slightly nonuniform electric field. Since the streamer constant of a practical gas-insulated system with any gas pressure level could be estimated using the streamer constant estimation function, the breakdown voltage of any practical gas-insulated system should be able to be computed pragmatically. To verify the ability to compute the breakdown voltage of a practical gas-insulated system, several practical gas-insulated systems with slightly nonuniform electric field were set up under certain gas pressure levels. Then several simulations were made to represent the practical gas-insulated system those were set up. Next, the streamer constant of each simulation was estimated using the developed streamer constant estimation function. After that, the gap spacings of both practical and simulated systems were changed. Then AC breakdown test was conducted on each practical system, while AC breakdown voltage of each simulated system was computed using the breakdown voltage computation function. Finally, the computed breakdown voltages were compared with the breakdown voltages those were practically tested. The comparison was satisfactory with less than 3% differences between the computed and the tested AC breakdown voltages in all cases.
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Online Parameters Identification for an IPMSM Based on Extended Kalman Filter
(2024-01-01)
Treebubpha, Khanaphot
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Polmai, Sompob
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Kittiratsatcha, Supat
This paper introduces an online identification of d-q axis apparent inductance in an interior permanent magnet synchronous machines (IPMSM) using extended Kalman filter (EKF). The primary objective is to achieve accurate tracking of apparent inductances, which are nonlinear and varies under different operating conditions. The apparent inductances are crucial for calculating electromagnetic torque. A nonlinear IPMSM model based on finite element analysis (FEA) is employed for simulations. The effectiveness of the proposed approach is demonstrated through MATLAB/Simulink simulations. To verify the efficiency of real-world application, two machines with different conditions were investigated under various operating scenarios, with the results compared to steady state analysis to ensure the accuracy of the proposed estimation method.
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Low voltage series arc fault detection using rogowski coil
(2018-08-13)
Sritrai, Eakburin
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Kittiratsatcha, Supat
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Polmai, Sompob
This paper presents series arc fault detection in low voltage ac circuit using Rogowski coil d/dt sensor. Series arc faults are simulated with various types of loads and current levels to understand the characteristic of arcing signal pattern and level. The Rogowski coil is designed to be able to detect high frequency di/dt component of the arc signal. The experimental results clearly show that by detecting the high frequency component of the di/dt, series arc fault condition can be reliably detected.
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Development of Converter and Control System for Variable Speed Permanent Magnet Synchronous Generator in Small Hydro Power Plant Model
(2022-01-01)
Thanajitr, Chatchaphong
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Polmai, Sompob
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Kittiratsatcha, Supat
In micro and small hydro power plants, the flow and head of the water fluctuate seasonally. The torque-speed characteristic of hydro turbine requires variable speed operation of generator to always obtain maximum power generation. This paper presents variable speed control of a permanent magnet synchronous generator and maximum power point tracking for small hydro power plant. The INC-like maximum power point tracking algorithm is proposed and implemented. The experimental results validate the proposed algorithm. However the speed fluctuations are observed and have to be addressed in future study.

Kittiratsatcha, Supat

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