• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.1954-1955
• /
• 2007

This paper presents a modeling method of speed controller for DC motor drive system by using the Embedded Target for TI C2000 DSP in MATLAB/SIMULINK. Speed controller is easily designed and implemented by using the MATLAB/SIMULINK program, and speed control response and stability of the DC motor can be improved. Feedback of motor speed is processed through C28x QEP(Quadrature Encoder Pulse) from encoder pulse. The controller is designed as PI speed controller. Simulation program is drawn using SIMULINK. Then a real-time program for speed control of the DC motor is downloaded into the eZdsp F2811 control board. Speed control response is verified through simulations and experiments.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.8 no.2
• /
• pp.212-218
• /
• 2007

This paper presents a implementation of speed sensorless vector control of induction motor using MATLAB/SIMULINK and dSPACE DS1104. Proposed flux estimation algorithm, which utilize the combination of the voltage model based on stator equivalent model and the current model based on rotor equivalent model, enables stable estimation of rotor flux. Proposed rotor speed estimation algorithm utilizes the estimated flux. And the estimated rotor speed is used to speed control of induction motor. Overall system consists of speed controller, current controller, and flux controller using the most general PI controller. Speed sensorless vector control algorithm is implemented as block diagrams using MATLAB/SIMULINK. And realtime control is performed by dSPACE DS1104 control board and Real-Time-Interface(RTI).

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.37 no.4
• /
• pp.359-366
• /
• 2009

MATLAB Autocode generation is a feature that converts a block diagram model in Simulink to a c program. Utilizing this function makes MATLAB/Simulink an integrated developing environment, from controller design to implementation. It can reduce development cost and time significantly. However, this automated process requires high reliability on the software, especially the original Simulink block diagram model. And thus, the verification of the codes becomes important. In this study, a UAV flight program which is generated with Simulink is validated and modified according to DO-178B. As a result of applying the procedures, the final program not only satisfied the functional requirement but is also verified with structural point of view with Decision Coverage 93%, Condition Coverage 95% and MC/DC 90%.

• Proceedings of the KIPE Conference
• /
• 2013.07a
• /
• pp.457-458
• /
• 2013

본 논문은 Simulink 모델을 기반으로 하여 FPGA 알고리즘을 설계하는 과정을 구현하였다. Simulink 모델은 SRF-PLL 제어기법을 적용하였으며, Simulink 모델은 기본적으로 부동소수점으로 구성된다. 그러나 FPGA 구현에 필요한 VHDL 코드는 고정 소수점 변환이 필요하므로, 부동 소수점 모델을 고정 소수점으로 변환하고 두 연산 기법의 시뮬레이션 결과를 비교분석하였다.

• Journal of the Korean Society of Propulsion Engineers
• /
• v.23 no.4
• /
• pp.50-60
• /
• 2019

This paper introduces the development of a toolbox for the Space Shuttle Main Engine(SSME) based on MATLAB/Simulink. A mathematical model of rocket engine creation and validation can be a complex process, the development of a rocket engine toolbox simplifies this process, thereby facilitating engine performance optimization as well as new design development. The mathematical modeling of the SSME dealt with in this paper is formed by 32 first-order differential equations derived from seven governing equations. We develop the toolbox for the SSME classifying each module according to the engine components. Further, we confirm the validity of the toolbox by comparing the results of the simulation obtained using the toolbox with those obtained using the original simulation of the engine.

• Proceedings of the KIPE Conference
• /
• 2000.07a
• /
• pp.211-214
• /
• 2000

The conventional PI controller has been widely used in industrial application due to the simple control algorithm. But it is very difficult to find the optimal PI control gain. Therefore in this paper to obtain optimal performance fuzzy proportional-plus-integral controller for the vector control system of an induction machine is presented. The simulation model is created in MATLAB/SIMULINK. The simulation results demonstrate the good performance of this system.

• Proceedings of the KIPE Conference
• /
• 2010.07a
• /
• pp.391-392
• /
• 2010

본 논문에서는 조류발전 시스템의 시험을 위한 시뮬레이터를 구현하였다. 조류발전 시뮬레이터 모델은 회전자 모델, MPPT 알고리즘, 발전기 등을 포함하고 있으며 Matlab Simulink를 이용해 구현했다. 제안한 조류 발전용 시뮬레이터를 이용해 조류발전에서 주속비(Tip Speed Ratio) 제어방식의 출력 특성에 대한 시뮬레이션을 수행하여 그 타당성을 분석하였다.

• 한국신재생에너지학회:학술대회논문집
• /
• 2010.06a
• /
• pp.186.1-186.1
• /
• 2010

풍력발전 설비의 발전기로는 구조가 간단하고 견실한 유도형 발전기가 일반적으로 사용되고 있다. 풍력발전은 계통 연계시에 정격전류의 7~8배의 돌입전류가 흘러 발전저하를 무시하기 어렵다. 따라서, 돌입전류 억제 및 대책의 검토가 필요하다. 본 연구는 MATLAB/SIMULINK를 통해 유도기형 풍력발전기를 모델링 및 시뮬레이션하고, 유도기형 풍력발전기 계통연계시 발생하는 돌입전류를 저감하는 방법에 대해 살펴보았다.

• Journal of Advanced Navigation Technology
• /
• v.4 no.2
• /
• pp.132-142
• /
• 2000

This paper includes a study on the performance analysis of SDINS by a simulator using Matlab/Simulink. The performance model is considered gravity and Coriolis force, and a barometer is included to damp down diversity of a perpendicular axis error. Using the simulator, the performance included gyro sensor errors was analyzed in various maneuvering patterns. Also, the performance is virtually presented for the variation of error parameters of gyro and accelerometer under GUI.

• Proceedings of the KIPE Conference
• /
• 2004.07a
• /
• pp.19-22
• /
• 2004

In this paper, we present a way that can implement the vector control Algorithm of induction motor and PWM signal generation on the basis of Matlab Simulink environment. The overall system model is designed by Simulink toolbox for vector control of induction motor, and then implement experiment with the DS1103 board of dSPACE. Although we are not coding the system, it is capable of doing simulation and experiment simultaneously. That is why Matlab and dSPACE board compiler can generate the '*.c' and '*.obj' files on the designed system automatically. After considering about hardware structure and driving system in Ds1103 board we verify the availability of Proposed method through in a comparison/analysis between simulation and experiment.