• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2003년도 춘계학술발표논문집 (상)
• /
• pp.443-446
• /
• 2003

본 논문에서는 MPC860T 프로세서를 이용하여 통신 제어가 필요한 환경에 적합한 내장형 시스템 보드를 개발한다. 개발된 보드는 1 개의 100Mbps 이더넷 포트, 4개의 10Mbps 이더넷 포트, 2 의 직렬 통신 포트를 가진다. 또한 외부의 입출력 보드와의 연결을 위한 회로를 구성하여 통신 제어 용도에 맞도록 시스템의 확장성을 높였다. 운영체제 및 소프트웨어 개발을 위해서 부트 로더의 이식이 필요하다. 부트 로더로는 PowerPC 계열의 프로세서에 적합한 PPCBoot를 사용한다. 시스템의 운영체제로는 리녹스를 이식하였다. 이를 위해서 사용된 메모리 소자의 특성과 크기 등 개발된 보드의 규격에 맞추어 리녹스 커널 소스를 수정하였다.

• 전력전자학회:학술대회논문집
• /
• 전력전자학회 2019년도 전력전자학술대회
• /
• pp.396-397
• /
• 2019

본 논문은 유한요소 모델예측제어(FCS-MPC)의 샘플링 시간을 가변하여 표면부착형 영구자석 동기 전동기(SPMSM)의 토크 리플을 개선하고 스위칭 손실을 저감하는 가변 샘플링 시간이 적용된 모델예측제어 기법을 제안한다. 기존 FCS-MPC는 토크 리플을 저감하기 위해 고정 샘플링 시간을 짧게 설정하였다. 고정 샘플링 시간을 짧게 설정함에 따라, 전압벡터의 변경횟수가 증가하여 스위칭 손실이 증가하였다. 본 논문은 이러한 문제점을 해결하기 위해 가변 샘플링 시간이 적용된 FCS-MPC를 통해 토크 리플을 저감하고, 전압벡터의 변경횟수를 감소시켜 스위칭 손실을 저감하였다. 본 논문에서 제안하는 기법은 시뮬레이션을 통해 증명되었다.

• 한국정보과학회:학술대회논문집
• /
• 한국정보과학회 2001년도 봄 학술발표논문집 Vol.28 No.1 (B)
• /
• pp.445-447
• /
• 2001

본 논문에서는 콜센터를 위하여 설계 및 구현된 전자메일 자동응답 및 관리 시스템 주에서 서버 시스템에 해당하는 뿐을 기술하였다. 본 연구에서는 도메인에 특성화된 표현 형식 개발을 개발하여 보다 효율적인 3단계 매칭방법을 가진 자동응답기, 학습에 기반한 도메인 비의존적인 자동분류기 및 적용방법의 재배열이 가능한 담당자 분배기를 구현하였다.

• 한국농공학회:학술대회논문집
• /
• 한국농공학회 2000년도 학술발표회 발표논문집
• /
• pp.226-232
• /
• 2000

The design of agricultural facilities is the consistent activities, which systematically analyze all the actual conditions, design the unit structures, and improve the faming environment through efficient organization of the unit facility. The design of agricultural facilities is composed of site study, preliminary design, primary design, and detail design. Integrated design system can manage and process the information created by and used in all steps of design process. Formal data models of these design activities are important conceptual steps in development of integrated design system. However, most of existing models are not available for agricultural facilities. To support efficiently developing the integrated design system of agricultural facilities, we have developed the Multi-Layered Primitive-Composite mode I through object-oriented analysis of agricultural facilities. The MPC model not only satisfies the characteristics of agricultural facility, such as variety, coupling, informal data, but also improves abilities of integrated design system such as extensibility, flexibility, and granularity. The paper presents a formal definition of the MPC model.

• 제어로봇시스템학회논문지
• /
• 제20권9호
• /
• pp.900-907
• /
• 2014

This paper proposes a MPC (Model Predictive Control) method for the torque and flux controls of induction motor. The proposed MPC method selects the optimized voltage vector for the matrix converter control using the predictive modeling equation of the induction motor and cost function. Hence, the reference voltage vector that minimizes the cost function of the torque and flux error within the control period is selected and applied to the actual system. As a result, it is possible to perform the torque and flux control of induction motor using only the MPC controller without a PI (Proportional-Integral) or hysteresis controller. Even though the proposed control algorithm is more complicated and has lots of computations compared with the conventional MPC, it can perform torque ripple reduction by synthesizing voltage vectors of various magnitude. This feature provides the reduction of amount of calculations and the improvement of the control performance through the adjustment of the number of the unit vectors n. The proposed control method is validated through the PSIM simulation.

• 전기학회논문지
• /
• 제67권2호
• /
• pp.308-313
• /
• 2018

In this paper, we propose a sampled-data model predictive tracking control deign for leader-following control of multi-mobile robot system. The error dynamics of leader-following robots is modeled as a Linear Parameter Varying (LPV) model. Also, the Lyapunov function is presented to guarantee stability of the networked control system. Based on the stabilization condition using a quadratic Lyapunov function approach, model predictive sampled-data controller is designed. Finally, the leader-following control of multi mobile robots is simulated to show effectiveness of the proposed method.

• Journal of Electrical Engineering and Technology
• /
• 제12권5호
• /
• pp.2043-2050
• /
• 2017

This paper presents two MPC (Model Predictive Control) based charging and discharging algorithms of BESS (Battery Energy Storage System) for capacity firming of wind generation. To deal with the intermittency of the output of wind generation, a single BESS is employed. The proposed algorithms not only make the output of combined systems of wind generation and BESS track the predefined reference, but also keep the SoC (State of Charge) of BESS within its physical limitation. Since the proposed algorithms are both presented in simple if-then statements which are the optimal solutions of related optimization problems, they are both easy to implement in a real-time system. Finally, simulations of the two strategies are done using a realistic wind farm library and a BESS model. The results on both simulations show that the proposed algorithms effectively achieve capacity firming while fulfilling all physical constraints.

• 제어로봇시스템학회논문지
• /
• 제21권3호
• /
• pp.199-209
• /
• 2015

This paper presents a model predictive control (MPC) approach to control the steering angle in an autonomous vehicle. In designing a highly automated driving control algorithm, one of the research issues is to cope with probable risky situations for enhancement of safety. While human drivers maneuver the vehicle, they determine the appropriate steering angle and acceleration based on the predictable trajectories of surrounding vehicles. Likewise, it is required that the automated driving control algorithm should determine the desired steering angle and acceleration with the consideration of not only the current states of surrounding vehicles but also their predictable behaviors. Then, in order to guarantee safety to the possible change of traffic situation surrounding the subject vehicle during a finite time-horizon, we define a safe driving envelope with the consideration of probable risky behaviors among the predicted probable behaviors of surrounding vehicles over a finite prediction horizon. For the control of the vehicle while satisfying the safe driving envelope and system constraints over a finite prediction horizon, a MPC approach is used in this research. At each time step, MPC based controller computes the desired steering angle to keep the subject vehicle in the safe driving envelope over a finite prediction horizon. Simulation and experimental tests show the effectiveness of the proposed algorithm.

• Journal of Electrical Engineering and Technology
• /
• 제13권2호
• /
• pp.648-658
• /
• 2018

Regarding the fact that wind power forecast accuracy is gradually improved as time is approaching, this paper proposes a two-stage rolling dispatch approach based on model predictive control (MPC), which contains an intra-day rolling optimal scheme and a real-time rolling base point tracing scheme. The scheduled output of the intra-day rolling scheme is set as the reference output, and the real-time rolling scheme is based on MPC which includes the leading rolling optimization and lagging feedback correction strategy. On the basis of the latest measured thermal unit output feedback, the closed-loop optimization is formed to correct the power deviation timely, making the unit output smoother, thus reducing the costs of power adjustment and promoting wind power accommodation. We adopt chance constraint to describe forecasts uncertainty. Then for reflecting the increasing prediction precision as well as the power dispatcher's rising expected satisfaction degree with reliable system operation, we set the confidence level of reserve constraints at different timescales as the incremental vector. The expectation of up/down reserve shortage is proposed to assess the adequacy of the upward/downward reserve. The studies executed on the modified IEEE RTS system demonstrate the effectiveness of the proposed approach.

• Journal of Electrical Engineering and Technology
• /
• 제12권2호
• /
• pp.886-889
• /
• 2017

An active Fault Tolerant Model Predictive Control (FTMPC) using Fuzzy scheduler is developed. Fault tolerant Control (FTC) system stages are broadly classified into two namely Fault Detection and Isolation (FDI) and fault accommodation. Basically, the faults are identified by means of state estimation techniques. Then using the decision based approach it is isolated. This is usually performed using soft computing techniques. Fuzzy Decision Making (FDM) system classifies the faults. After identification and classification of the faults, the model is selected by using the information obtained from FDI. Then this model is fed into FTC in the form of MPC scheme by Takagi-Sugeno Fuzzy scheduler. The Fault tolerance is performed by switching the appropriate model for each identified faults. Thus by incorporating the fuzzy scheduled based FTC it becomes more efficient. The system will be thereafter able to detect the faults, isolate it and also able to accommodate the faults in the sensors and actuators of the Continuous Stirred Tank Reactor (CSTR) process while the conventional MPC does not have the ability to perform it.