• 한국통신학회논문지
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• 제25권3B호
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• pp.570-576
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• 2000

본 논문은 LQ-서보구조를 부분적 상태 피드백을 갖고 있는 PI제어기로 해석하여 LQ-서보형 PI 제어기를 제안하고 이를 설계하기 위하여서 종전의 LQ-servo 설계 기법의 설계 매개 변수에 가중치를 도입하여 설계 앨고리즘을 보다 유연성 있게 개발하는데 있다. 제안된 앨고리즘은 설계 루프 전달 함수의 최대 및 최소 특이값을 저주파와 고주파에서의 일치를 향상시킬수 있을 뿐만 아니라 성능 향상을 위해 루프 형상을 유연성 있게 설계할 수 있었다.

• Journal of Electrical Engineering and Technology
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• 제13권1호
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• pp.211-219
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• 2018

This paper designs a nonlinear PI-type controller for the robust control of a boost DC-DC converter using a particle swarm optimization (PSO) algorithm. Based on the common knowledge that the transient responses can be improved if the P and I gains increase when the transient error is big, a nonlinear PI-type control design method is developed. A design procedure to autotune the nonlinear P and I gains is given based on a PSO algorithm. The proposed nonlinear PI-type controller is implemented in real time on a Texas Instruments TMS320F28335 floating-point DSP. Simulation and experimental results are given to demonstrate the effectiveness and practicality of the proposed method.

• 전기학회논문지
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• 제66권12호
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• pp.1732-1739
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• 2017

This paper presents a sensorless vector control algorithm of closed loop Gopinath flux observer to enhance the robustness at low speed by switching P/PI mode. Closed loop Gopinath flux observer has the problem in sensorless vector control of induction motor at low speed. This paper solves the problem using the characteristic function of closed loop Gopinath flux observer. P mode shows better performance than PI mode under the cut-off frequency of observer. But P mode always has a flux error due to DC offset, so this paper combines P mode and PI mode. This algorithm shows good performance over wide speed range. The performance has been confirmed through computer simulations using MATLAB SIMULINK and experiments.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.637-639
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• 2021

자율주행 연구가 활발히 진행되면서 ADAS(Advanced Driver Assistance System)에서 차량의 위치를 파악하고 경로를 유지하는데 차선 검출은 필수적인 기술이다. 차선 검출은 허프 변환과 RANSAC(Random Sample Consensus)과 같은 영상처리 알고리즘을 이용하여 검출한다. 본 논문은 라즈베리파이3 B+에 OpenCV를 이용하여 선형 도형 검출 알고리즘을 구현하고 있다. OpenCV 가우시안 블러 구조와 캐니 에지 검출을 통해 문턱값을 설정하였고, 선형 검출 알고리즘을 통한 차선 인식에 성공하였다.

• International Journal of Control, Automation, and Systems
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• 제5권2호
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• pp.117-127
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• 2007

Many real world control systems usually track several control objectives, simultaneously. At the moment, it is desirable to meet all specified goals using the controllers with simple structures like as proportional-integral (PI) and proportional-integral-derivative (PID) which are very useful in industry applications. Since in practice, these controllers are commonly tuned based on classical or trial-and-error approaches, they are incapable of obtaining good dynamical performance to capture all design objectives and specifications. This paper addresses a new method to bridge the gap between the power of optimal multiobjective control and PI/PID industrial controls. First the PI/PID control problem is reduced to a static output feedback control synthesis through the mixed $H_2/H_{\infty}$ control technique, and then the control parameters are easily carried out using an iterative linear matrix inequalities (ILMI) algorithm. Numerical examples on load-frequency control (LFC) and power system stabilizer (PSS) designs are given to illustrate the proposed methodology. The results are compared with genetic algorithm (GA) based multiobjective control and LMI based full order mixed $H_2/H_{\infty}$ control designs.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.158-161
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• 2003

A cascade structured neural network called Sigma-Pi$_{t}$ Cascaded Hybrid Neural Network ($\sigma$$\pi$$_{t}$-CHNN) is Proposed. It is an extended version of the Sigma-Pi Cascaded extended Hybrid Neural Network ($\sigma$$\pi$-CHNN), where the classical multiplicative neuron ($\pi$-neuron) is replaced by the translated multiplicative ($\pi$$_{t}$-neuron) model. The learning algorithm of $\sigma$$\pi$$_{t}$-CHNN is composed of an evolutionary programming method, responsible for determining the network architecture, and of a Levenberg-Marquadt algorithm, responsible for tuning the weights of the network. The $\sigma$$\pi$$_{t}$-CHNN is evaluated in 2 pattern classification problems: the 2 spirals and the sonar problems. In the 2 spirals problem, $\sigma$$\pi$$_{t}$-CHNN can generate neural networks with 10％ less hidden neurons than that in previous neural models. In the sonar problem, $\sigma$$\pi$$_{t}$-CHNN can find the optimal solution for the problem i.e., a network with no hidden neurons. These results confirm the expanded information processing capabilities of $\sigma$$\pi$$_{t}$-CHNN, when compared to previous neural network models. network models.

• 전력전자학회:학술대회논문집
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• 전력전자학회 1998년도 전력전자학술대회 논문집
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• pp.230-233
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• 1998

The conventional PI controller are fragile in parameter variation and load-variation. Therefore, in this paper, a speed control algorithm based on the Fuzzy PI controller is proposed for the high performance speed control of a voltage-source inverter to drive 3-phase induction motors. The computer simulation results show that the proposed controller are more excellent control characteristics than conventional PI controller in transient-state and steady-state response.

• Journal of Electrical Engineering and information Science
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• 제1권2호
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• pp.101-108
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• 1996

A new speed controller based on the fuzzy algorithm with hierarchical structure is presented. The input variables of the controller are speed error and its derivative(change of error), where the output variable is the change of torque current command. Several comparisons were performed with conventional PI (proportional plus integral) controller and proposed controller. These controllers are applied to the laboratory model drive system with 2.2kW induction motor. Some simulation and experimental results show that the speed controller using fuzzy algorithm is more robust than the conventional PI controller.

• 전력전자학회논문지
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• 제13권6호
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• pp.411-419
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• 2008

대용량 동기 발전/전동기 기동운전에는 주로 사이리스터를 이용한 정지형 주파수 변환 장치(SFC : Static Frequency Converter)시스템이 널리 사용되고 있다. 지금까지의 국내 SFC에 대한 연구는 주로 양수 발전 시스템에 관한 연구가 주류를 이루고 있어 가스터빈용 SFC 시스템에 관한 구체적인 기동 알고리즘에 관한 연구는 미흡한 실정이다. 따라서 본 논문에서는 PI 전류 제어기의 안티 와인드업 출력 신호를 이용한 가스터빈 동기 전동기의 기동을 위한 새로운 약계자 제어 알고리즘을 제안하였으며 이에 대한 실효성과 타당성을 실험을 통해 검증하였다.

• Journal of Electrical Engineering and Technology
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• 제13권3호
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• pp.1131-1137
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• 2018

In this paper, the authors suggest a new control algorithm for a three-phase four-wire photovoltaic (PV) inverter with imbalance load compensation function using conventional proportional-integral (PI) controllers. The maximum power of PV panel is calculated by the MPPT control loop. The reference varying signals of current controllers are transformed to two different rotating frames where they become constant signals. Then simple PI controllers are applied to achieve zero steady-state error of the controllers. The proposed control algorithm are modeled and simulated with imbalance load configuration to verify its performance. The simulation results show that the maximum PV power is transferred to the grid and the imbalance power is compensated successfully by the proposed control algorithm. The inverter has a fast response (~4 cycles) during the transient period. The proposed control algorithm can be effectively utilized to the three-phase four-wire inverter with imbalance load compensation function.