Earticle

SRM의 특성 중 비선형성으로 인해 최대토크 및 최소 토크 맥동 형성을 위한 적정 운전이 어렵다. 또한 고정 스위칭각 제어 때 속도 가변에 따른 토크 형성이 불안정하여 효율을 저하시키는 문제점을 가지고 있다. 따라서 속도 가변에 따른 능동적인 스위칭각 제어가 필요하다. 본 논문에서는 SRM의 비선형성으로 인한 문제점으로부터 선행각 (Advance angle)의 자동제어에 의한 토크 리플 저감과 이에 따른 출력 토크 향상에 의한 구동 성능개선을 위한 방법에 대해 모색하였다. 또한 히스테리시스 전류제어기 성능에 따른 스위칭 가변으로 인한 SRM의 최적 운전에 대해 살펴보았다.

Among the characteristics of SRM, due to nonlinearity, it is difficult to properly operate to form maximum torque and minimum torque pulsation. In addition, in the case of fixed switching angle control, torque formation according to speed variation is unstable, thereby reducing efficiency. Therefore, active switching angle control according to speed variation is required. Therefore, active switching angle control according to speed variation is required. In this paper, a method for improving driving performance by reducing torque ripple by automatic control of the advance angle and increasing output torque was sought from the problem caused by the nonlinearity of the SRM. In addition, the optimal operation of SRM due to the switching variable according to the performance of the hysteretic current controller was examined.

In this paper an optimal switching angle control of a switched reluctance motor (SRM) drive system is investigated for achieving maximum energy conversion ratio. A new magnetizing method is proposed with a low switching frequency. The proposed algorithm maximizes the positive energy conversion region, which is directly related to the mechanical output, and reduces the reactive power region with the same field energy region. As a consequence, a torque ripple is also sufficiently reduced compared with that of the conventional switching angle magnetizing method. Experimental results show that the proposed scheme provides a high efficiency and a low ripple drive.

The good features of a switched reluctance motor(SRM) are appreciated by the appliance manufactures. And it is spread into a commercial and industries market. The few disadvantage of the motor is higher torque ripple and noise. This paper proposes an instantaneous torque control scheme to control a speed precisely. It adapts phase-locked loop (PLL) technique to control speed precisely. In this control scheme, the phase detector signal of the PLL regulates the switching dwell angle flexibly and the loop filter's signal controls adaptively the instantaneous switching voltage. Experimental results show that drive performance is good with low torque ripple.

Switched Reluctance Generator attracts much attention because of high effciency, simple controllability with traction drive. But the theories that have been adopted as SRG control methods are complicated up to the present. This paper proposes reference current limitation strategy for stable generation of SRM and switching angle control. The proposed method is verified by simulation and experiments.

This paper represent improved On-line Turn off, commutation Angle control schemes for switched reluctance motors based on current control. For the purpose of the finding optimal commutation switching angle point, it is utilized turn on and turn off position calculation with inductance vs. current vs. flux linkage analysis method. The goal of proposed paper is the maximization of the energy conversion per stroke and maximizing efficiency and obtaining approximately flat-topped current waveform. The proposed control scheme is demonstrated on a simulation experimental result.

본 연구에서는 홀소자를 이용한 저가형 엔코더와 제어기를 제안하고 이를 통한 연속적인 회전자 위치추정을 통해 최적의 스위칭 온/오프시점을 결정함으로서 저속 전기자동차 구동용 SRM의 기동특성과 주행성능을 실험을 통해 확인하였다.

This paper describes an adjustable switching angle control method of Switched Reluctance Motor to improve the drive efficiency when variable loads applied. The control method to build-up optimal current shape is intended to improve the efficiency of SRM over the wide range of output power without requiring additional power devices, which gives more economic benefits compared with any other control methods.

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.

In a switched reluctance motor drive, it is important to synchronize the stator phase excitation with the rotor position, because the position of rotor is an essential information. In the high-speed region, switching angles are fluctuated back and forth out of the preset value, which is caused by the sampling period of the microprocessor. In this paper, a low cost analog encoder suitable for practical applications is proposed. The validity of the proposed analog encoder with a proper logic controller is verified from the experiments.

This paper presents a simple torque estimation method and the switching angle control of SRM using Neural Network. 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 a 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 Neural Network was adapted to regulate the switching angle and nonlinear inductance modelling. Experimental result shows the validity of the switching angle controller.