• 제어로봇시스템학회:학술대회논문집
• /
• 1997.10a
• /
• pp.856-859
• /
• 1997

In this paper we treat the application of fault detection method in DC motor having both model mismatch and noise problems. A fault detection method presented by Kwon et al. (1994) for SISO systems has been here experimented. The model mismatch includes here linearization error as well as undermodelling. Comparisons are made with the real plant, DC motor. The experimental result of robust fault detection method is shown to have good performance via with the alternative fault detection method which do not account noise.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.04a
• /
• pp.123-125
• /
• 2017

최근 에너지 시장에 많은 변화가 일어나면서 국내 에너지 수급 현황에도 큰 영향을 끼치고 있다[1-2]. 발전소의 블랙 다운시 Battery Panel에서 전원을 공급받아 DC MOTOR를 기동하여 중요한 시설에 전원을 공급한다. 따라서 본 논문에서는 PSIM 시뮬레이션을 이용하여 37kW급 DC MOTOR 기동제어를 시뮬레이션 하였다. 시뮬레이션 결과 초기 기동 전류는 정격전류 170A의 200% 이내에서 동작해야 하는 조건을 만족 시켰다.

• Proceedings of the KIEE Conference
• /
• 2005.07d
• /
• pp.2833-2835
• /
• 2005

본 논문에서는 단결정($Al_2O_3$) 성장을 DC-Motor로 제어하여 양질의 결정을 얻도록 하는 자동가스 조절용 DC-Motor의 운영 시스템과 실시간 모니터링 시스템을 구현 하였다.

• Proceedings of the KIEE Conference
• /
• 2006.07b
• /
• pp.1027-1028
• /
• 2006

In this paper, design of current and speed controller for DC motor drive system using Embedded Target for TI C2000DSP in Matlab/Simulink is introduced. Current and speed controller is designed and implemented using program simply and easily, and speed control response of DC motor can be advanced. Current and speed control of DC motor is carried in eZdsp F2812 control board using Embeded Target for TI C2000DSP in Matlab/Simulink. Speed feedback is processed through A/D converter using tacho generator as speed sensor, and current feedback is processed through A/D converter using hall sensor as current sensor. Controller is designed to PI current controller and PI speed controller. Current and speed response is verified through simulations and experiments.

• Journal of Power Electronics
• /
• v.11 no.5
• /
• pp.743-750
• /
• 2011

This article deals with the sensor-less control of a DC Motor via a SEPIC Converter-Full Bridge combination powered through solar panels. We simultaneously regulate, both, the output voltage of the SEPIC-converter to a value larger than the solar panel output voltage, and the shaft angular velocity, in any of the turning senses, so that it tracks a pre-specified constant reference. The main result of our proposed control scheme is an efficient linear controller obtained via Lyapunov. This controller is based on measurements of the converter currents and voltages, and the DC motor armature current. The control law is derived using an exact stabilization error dynamics model, from which a static linear passive feedback control law is derived. All values of the constant references are parameterized in terms of the equilibrium point of the multivariable system: the SEPIC converter desired output voltage, the solar panel output voltage at its Maximun Power Point (MPP), and the DC motor desired constant angular velocity. The switched control realization of the designed average continuous feedback control law is accomplished by means of a, discrete-valued, Pulse Width Modulation (PWM). Experimental results are presented demonstrating the viability of our proposal.

• 제어로봇시스템학회:학술대회논문집
• /
• 1992.10a
• /
• pp.658-663
• /
• 1992

In this paper, the control of a DC servo motor position control is implemented with fuzzy controller using IBM PC AT. In addition to the fuzzy controller with the error and change of error inputs PI controller is applied as well to improve the steady state error response. It shows the above configuration results in a good control characteristics.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.62 no.9
• /
• pp.1234-1239
• /
• 2013

This paper provides a technical review of speed control using variable gain PI algorithm for BLDC(Brushless DC) motor. Usually the PI control is used in many motor applications, but a general PI control has problems of overshooting and disturbance for response. By the change of PI gain in motor control operation, these problems can be solved. To find the optimized PI gains for BLDC motor control, many control methods have been proposed. In this paper, the control algorithm with a variable PI gain is applied to improve overshooting response in transient region and rapid load disturbance rejection. Fixed gain and variable gain PI controls are compared. The validity of the propose method is verified by experiment.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.5 no.2
• /
• pp.169-174
• /
• 2005

A neural networks (NN) saturation compensation scheme for DC motor systems is presented. The scheme that leads to stability, command following and disturbance rejection is rigorously proved. On-line weights tuning law, the overall closed loop performance and the boundness of the NN weights are derived and guaranteed based on Lyapunov approach. The simulation and experimental results show that the proposed scheme effectively compensate for saturation nonlinearity in the presence of system uncertainty.

• Proceedings of the KIEE Conference
• /
• 2003.11c
• /
• pp.994-997
• /
• 2003

This Paper presents a study of the performance of a DC servo motor with a model reference adaptive fuzzy speed controller (MRAFSC) in the presences of load disturbances. MRAFSC comprised inner feedback loop consisting of the fuzzy logic controller (FLC) and plant, and outer loop consisting of an adaptation mechanism which is designed for tuning a control rule of the FLC. Experimental results show the good performance in the DC servo motor system with the proposed adaptive fuzzy controller.

• Proceedings of the KSR Conference
• /
• 2010.06a
• /
• pp.227-233
• /
• 2010

This paper treats the method to build up Motor drive-circuit using semi-conduct control part like power transistor, MOSEFT and refers to the operation theory, forward, reverse rotation control and speed control method which is changed by PWM. And also, this paper mention to the basic principle of DC Motor and various Motor control method using micro-processor.