Kittiratsatcha, Supat

Preferred name

Alternative Name

Kittiratsatcha, S.

Main Affiliation

School of Engineering

supat.ki@kmitl.ac.th

Now showing 1 - 10 of 33

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Analysis and experimental setup of a switched reluctance generator for maximum output power
(2014-01-01)
Thongprasri, P.
;
Kittiratsatcha, S.
Output power of a switched reluctance generator (SRG) in single pulse mode operation depends on control variables which consist of dc bus voltage, shaft speed, and excitation angles (turn-on and turn-off angles). This paper presents a model using equations to express maximum output power in terms of the control variables. The proposed analytical model is applied from a nonlinear magnetization curve that is used to mathematically demonstrate relationship of the control variables and to find the optimal control variables of the SRG for maximum output power. The validity of the analytical model has been confirmed by experimental results. © 2014 Praise Worthy Prize S.r.l. - All rights reserved.
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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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Analysis of control variables to maximize output power for switched reluctance generators in single pulse mode operation
(2016-10-01)
Thongprasri, Pairote
;
Kittiratsatcha, Supat
This paper presents an analytical modeling method of optimal control variables to maximize the output power for switched reluctance generators (SRGs) in single pulse mode operation. A method to obtain the phase current equation used to determine the optimal control variables is proposed. The phase current equation is derived from the phase voltage equation in combination with the inductance model. The inductance model proposed in this paper is applied from the flux linkage function. The characteristics of the phase current and the energy conversion relations are analyzed to determine the optimal phase current shape. The analytical results indicate that the optimal shape can be generated when the SRG is controlled with the optimal control variables. The optimal shape is used for analysis based on the phase current equation to determine the optimal control variables. An 8/6 SRG experimental setup is used to validate the proposed method. The optimal control variables obtained from the proposed method are used to control the SRG. Based on the experimental results, the SRG can produce the maximum output power.
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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.
;
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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Analysis of a switched-reluctance generator for maximum energy conversion
(2017-01-01)
Wongguokoon, Supakit
;
Kittiratsatcha, Supat
An effective analytical expression for maximum energy conversion in terms of DC-bus voltage, shaft speed, and turn-on and turn-off angles of a switched-reluctance generator (SRG) based on self-excitation mode and single-pulse operation is successfully presented. The proposed analytical model, which can describe the nonlinearity of the magnetic characteristics of an SRG with sufficient accuracy, is the key to derive the relation between maximum energy conversion and the aforementioned control variables. The optimal ratio of DC-bus voltage to shaft speed and excitation angle are proposed. Simulation and experimental results are provided to validate the analysis.
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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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Optimal excitation angles of a switched reluctance generator for maximum output power
(2014-01-01)
Thongprasri, Pairote
;
Kittiratsatcha, Supat
This paper investigates the optimal values of turn-on and turn-off angles, and ratio of flux linkage at turn-off angle and peak phase current positions of optimal control for accomplishing maximum output power in an 8/6 Switched Reluctance Generator (8/6 SRG). Phase current waveform is analyzed to determine optimal excitation angles (optimal turn-on and turn-off angles) of the SRG for maximum output power which is applied from a nonlinear magnetization curve in terms of control variables (dc bus voltage, shaft speed, and excitation angles). The optimal excitation angles in single pulse mode of operation are proposed via the analytical model. Simulated and experimental results have verified the accuracy of the analytical model.

Kittiratsatcha, Supat

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