Kittiratsatcha, Supat

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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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Modeling of a switched reluctance generator using cubic spline coefficients on the phase flux linkage, inductance and torque equations
(2015-01-01)
Kerdtuad, Paiwan
;
Kittiratsatcha, Supat
This paper presents a dynamic modeling method for a switched reluctance generator (SRG) by which cubic spline coefficients are applied to the phase flux linkage, phase inductance and electromagnetic torque equations. To obtain the cubic spline coefficients, the flux linkage data of the SRG are first determined by a finite element analysis (FEA) prior to fitting into a third order polynomial equation to derive the curve fitting flux linkage data. In addition, the accuracy of the curve fitting data is verified by comparing with the FEA flux linkage data. Then, the cubic spline coefficients are applied to the proposed dynamic model of the SRG to simulate the machine behaviors. The simulations were carried out in a single pulse mode with fixed conduction angles at a rotation speed lower than, equal to and higher than a based speed of 6000 rpm. This research also presents the experimental results of an 8/6 SRG based on a TMS320F2812 DSP drive system, including the phase voltage, dc-link voltage, phase current, dcload current waveforms, as well as the output power-speed characteristics. The simulation and experimental results are compared to verify the accuracy of the proposed model.
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Output power control using artificial neural network for switched reluctance generator
(2021-01-01)
Kittiratsatcha, Supat
;
Kerdtuad, Paiwan
;
Bunlaksananusorn, Chanin
We propose an output power control of a variable-speed switched reluctance generator (SRG) by implementing an artificial neural network (ANN) in the control loop. In the high-speed operation with single pulse mode, the phase current waveform, and subsequently, the output power, depend on the conduction angles. The conduction angles, i.e., the turn-on and turn-off angles, can be determined by the proposed method using an ANN. A dynamic model of an SRG with eight stator poles and six rotor poles is used for simulation to obtain the output power profiles, which subsequently become the ANN training data. The inputs of the ANN are the reference value of the output power and the rotor speeds, while the outputs of the ANN are the turn-off and turn-on angles. The control algorithm is implemented by integrating the trained data into the dynamic model using MATLAB. The experimental setup of the SRG is implemented using a digital signal processor (DSP) to control the two-switches-per-phase drive system, which includes highly accurate phase current and dc-link voltage sensor circuits. The trained biases and weights of the ANN are also coded in the DSP. To validate the proposed method, comparisons are made between simulation and experimental results.
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Auxiliary Power Supply System with Parallel-Connected DC–AC Inverters for Low-Floor Light Rail Vehicle
(2023-07-01)
Kerdtuad, Paiwan
;
Chaiamarit, Kunjana
;
Kittiratsatcha, Supat
This research proposes a roof-mounted auxiliary power supply (APS) system for 600 VDC low-floor light rail vehicles (LRVs). The proposed APS system consists of five parallel-connected dc–ac inverter modules (modules 1–5). Inverter modules 1 and 2 are three-phase dc–ac inverters for the compressor motors of the air conditioning system, and inverter modules 3 and 4 are three-phase dc–ac inverters for the air pump motors of the air supply system. Inverter module 5 is a single-phase dc–ac inverter for the 220 VAC power supply of onboard electric loads. Simulations and experiments were carried out under variable load torques and output frequencies for modules 1–4 and under full and no resistive loads for module 5. The measured total input current and total input power of the proposed APS system under the full-load condition are 114.36 A and 68.84 kW. The total efficiency of the proposed APS system (modules 1–5) is 97.05%. The proposed APS system is suitable for 600 VDC low-floor LRVs. The novelty of this research lies in the use of five parallel-connected inverter modules, as opposed to the three-phase output transformer or isolated dc–dc converter in the early and conventional APS systems. Specifically, the proposed APS system requires neither a three-phase output transformer nor an isolated dc–dc converter.

Kittiratsatcha, Supat

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