• Proceedings of the KIPE Conference
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• 2004.07b
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• pp.944-948
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• 2004

This paper presents a simple torque estimation method and switching angle control of Switched Reluctance Motor (SRM) using Neural Network (NN). SRM has gaining much interest as industrial applications due to the simple structure and high efficiency. Adaptive switching angle control is essential for the optimal driving of SRM because of the driving characteristic varies with the load and speed. The proper switching angle which can increase the efficiency was investigated in this paper. NN was adapted to regulate the switching angle and nonlinear inductance modelling. Experimental result shows the validity of the switching angle controller.

• Proceedings of the KIPE Conference
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• 2004.07a
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• pp.239-243
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• 2004

This paper presents a proper switching angle calculation method of Switched Reluctance Motor (SRM) for drill. The characteristic of SRM drive is very related to the scheduling of commutation angle and current waveforms. Therefore, a selection method of switching turn-on and turn-off angle is suggested for adaptational operation of SRM with varied rotor speed and load. Simulation and experimental results are presented for the validation of proposed method.

• Proceedings of the KIPE Conference
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• 2004.07a
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• pp.206-209
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• 2004

The switched reluctance motor(SRM) drive system provides a good adjustable speed and torque characteristics. SRM has the possibility of maintaining full power over a wide speed range. So, many attempts are being done from home appliances to industrial machinery and tools. Especially, a traction drive of an SRM is one of a good application for it's DC-series characteristic. However, because of the switching mechanism it has some disadvantage of noise and vibration. It is difficult to adopt to an appliance demanding silency. A noise simulation and design of 6/4 and 12/8 SRM was done in order to compare each other.

• Proceedings of the KIEE Conference
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• 2004.04a
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• pp.80-82
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• 2004

The single phase switched reluctance motor(SRM) is more simpler and robust in the structure than poly phase SRM. It has the merits that it reduces the switching elements and the energy density per volume is very high. Recently, it has been researched and developed in various types and starting method due to the technique of power electronics and the computer added design. This paper presents a analytical representation of the phase inductance of a single phase SRM, as function of position and current, taking into account the non-linearity of the magnetic circuit. the method is based on Fourier series expansion. Analytical expressions for the calculation of instantaneous phase inductance, flux linkage, coenergy and electromagnetic torque as a function of rotor position and winding currents are derived.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 1999.11a
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• pp.279-284
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• 1999

Although the switched reluctance motor (SRM) has a several advantages such as simple magnetic structure, robustness, wide range of speed characteristics and simple driving, it has a considerable inherent torque ripple and speed variation duet to the driving characteristics of pulse current waveform and the nonlinear inductance profile. The high torque ripple and speed variation inhibits wide application. The minimization of the torque ripple is very important in high performance servo drive applications, which require smooth operation with minimum torque pulsations. This paper presents the new SRM torque modeling technique for the control of instantaneous torque. The SRM is modeled by the database of torque profiles for every small variation in currents and rotor angles, which is inferred from the several measured data by the adaptive neuro-fuzzy inference technique. Simulation results demonstrating the effectiveness of proposed torque modeling technique are presented.

• Proceedings of the KIEE Conference
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• 1994.07a
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• pp.219-222
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• 1994

This thesis describes an observer of Switched Reluctance Motor for position. velocity and torque estimation using current sening. Inductance of SRM varies trapezoidally with respect to the rotor position. This means that the inductance of each phase is a periodic function with the same period. Under this condition. the observer with a constant gain can be developed though SRM has nonlinear characteristics. Because SRM has equivalent physical meaning with each period. The stability of error system which is the difference between actual system and observer system. is analyzed using Lyapunov and variable structure theory. The effectiveness of the proposed estimation is shown by various simulation.

• Proceedings of the KIEE Conference
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• 2000.07b
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• pp.984-987
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• 2000

In switched reluctance motor(SRM) drive, it is necessary to synchronize the stator phase excitation with the rotor position. Therefore the rotor position information is an essential. Usually optical encoders or resolvers are used to provide the rotor position information. These sensors are expensive and are not suitable for high speed operation. In the paper, the low cost linear encoder suitable for the practical and stable SRM drive is proposed and the control algorithm to provide the switching signals using the simple digital logic circuit is also presented in this paper. It is verified from the experiments that the proposed encoder and logic controller can be a powerful candidate for the practical low cost SRM drive.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2255-2257
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• 2001

This paper introduces a indirect rotor position and speed estimation algorithm for the SRM(switched reluctance motor) sensorless control, based on the sliding mode observer. The information of position and speed is generally provided by encoder or resolver. However, the position sensor not only adds complexity, cost, and size to the whole drive system, but also causes limitation for industrial applications. In this paper, in order to eliminate the position sensor, indirect position sensing method using sliding mode observer is used for SRM drives. And this observer parameters are optimized by evolutionary algorithm. PI controller is also optimized for the SRM to track precisely using evolutionary algorithm.

• Proceedings of the KIEE Conference
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• 2000.11b
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• pp.256-258
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• 2000

This paper is proposed the modeling and computational methods for estimating the steady and dynamic characteristics of a transverse flux type SRM. To obtain characteristics parameters of the transverse flux type SRM which is considered the magnetic non-linearity phenomena. the magnetic equivalent parameters of SRM are computed by the finite element method as functions of the input current and angular displacement. Dynamic characteristics of the designed transverse flux type SRM is simulated and estimated by Matlab/simlunk.

• Proceedings of the KIPE Conference
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• 2001.07a
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• pp.5-8
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• 2001

The low cost, ruggedness, and reliability of switched reluctance motor(SRM) drive makes them potentially suitable for many industrial applications. But the generation of a high-level torque ripple and the acoustic noise restricts the practical application range. This paper analyzes the torque characteristic of SRM according to rotor pole arc and the effect of turn-on and turn-off angles to reduce the torque ripple. The simulation result shows the different torque characteristic of each cases.