• The Transactions of the Korean Institute of Power Electronics
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• v.11 no.5
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• pp.404-408
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• 2006

This paper presents an anti-windup gain selection method for a complex vector synchronous frame PI current controller. The complex vector PI current controller is more robust to the parameter variation than the state feedback decoupling PI current controller. The complex vector PI current controller also includes an integral term, which can results in windup problem when the controller is saturated due to physical limitation of the system. Furthermore, even an anti-windup is utilized, inappropriate gain can deteriorate the performance of the current controller. Therefore, appropriate anti-windup gain selection method for a complex vector current controller has been proposed based on the mathematical description of the current control system. The superior performance of the current control system with the proposed anti-windup gain has been verified by the experimental results.

• Proceedings of the KIEE Conference
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• 1997.07f
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• pp.2062-2065
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• 1997

컨버터나 인버터의 운전에 있어서 비간섭 전류제어는 그 시스템의 성능에 직접적으로 영향을 주는 중요한 요인이다. 하지만 일반적인 비간섭 제어방식은 모터나 입력 인덕터에 파리미터 오차가 있으면 잘 동작하지 않는다 이 논문에서는 PI 형태의 새로운 비간섭제어 방식을 제안하였다. 이 방식의 가장 큰 장점은 파라미터 오차에 대해 강인성을 가지는 것이다. 시뮬레이션을 통하여 제안된 제어기의 성능을 살펴보았다.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2221-2223
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• 2004

본 논문에서는 유전알고리즘을 기반으로 하여 설계된 광 디스크 드라이브의 광학헤드 구동기용 퍼지 PI/PD 제어기를 제안한다. 본 논문에서 제안하는 제어기는 광디스크 드라이브의 광학헤드용 구동기의 포커싱 서보계, 트랙킹 서보계를 제어할 수 있는 퍼지 제어기이며 유전알고리즘을 통해 최적의 퍼지 규칙을 도출한다. 그리고 이를 토대로 모의실험을 수행한다.

• Journal of Industrial Technology
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• v.26 no.B
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• pp.227-231
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• 2006

This paper presents a robust speed control method of induction motors(IM) using a Non-linear PI controller(NPI). NPI is high gain controller in region of small error, and low gain controller in region of large error. So in steady state, system will be robust against variation of load torque. The simulation and experiment results confirm the validity of proposed control scheme.

• Proceedings of the KIPE Conference
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• 2014.07a
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• pp.271-272
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• 2014

비례-적분(PI) 제어기는 전동기의 간섭성분을 고려하지 않기 때문에 고속회전영역에서 오버슈트가 커지고, 적분기 포화로 인해 정착 시간이 느려지는 단점이 있다. 고속회전영역에서 느린 응답성을 보완하기 위해 전동기의 간섭성분을 고려하는 Cascade PI 전류제어기가 제안되었지만 오버슈트를 증가시키는 문제점이 발생한다. 본 논문에서는 Cascade PI 제어기를 소개하고 Cascade PI 제어기의 오버슈트 특성을 개선하기 위한 전류제어기를 제안하였다. 시뮬레이션을 통하여 각 제어기의 성능을 비교, 분석하였으며 실험을 통해 이를 검증하였다.

• Journal of the Korea Society of Computer and Information
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• v.6 no.4
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• pp.60-67
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• 2001

In this paper, by comparing the performance of HVAC(Heating Ventilating and Air Conditioning) by the typical PI (Proportional-Integral) control and the HVAC by the new neural network control, it will show the applicability of neural network control algorithm to HVAC of buildings. These show that neural network system that can respond to changes in temperature and system can replace PI control that has been conventionally used in buildings.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.254_255
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• 2009

본 논문에서는 비선형 특성의 STATCOM 시스템에 대해 강인한 PI 제어기를 설계하였다. 설계된 PI 제어기는 불확실성 변수에 대해 모든 동작 점에서 항상 안정하다는 것을 보드선도, 게인, 위상 여유, Nyquist 선도를 통해 검증하였다.

• The KSFM Journal of Fluid Machinery
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• v.18 no.1
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• pp.59-64
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• 2015

The pitch control system in wind turbines becomes more and more important as the wind turbines are larger in multi-MW size. PI controller has been applied in most pitch controllers and it has been known that gain-scheduling is essential for pitch control of wind turbines. A demo model of 2 MW wind turbine which represents the whole dynamics of wind turbine including dynamic behaviors of blade, tower and rotational shaft is given in the commercial Bladed S/W for real wind turbines. In this paper, some results on step responses of the pitch PI controller and effectiveness of gain-scheduled pitch PI controller are presented through the Bladed S/W for the 2 MW wind turbine.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.10
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• pp.992-997
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• 2010

The Propulsion Control Module(PCM) of Hall-thruster Propulsion System(HPS) for Science and Technology Satellite-3 (STSAT-3) has the flow control accuracy of less than ${\pm}$3% and the pressure control accuracy of less than ${\pm}$5%. The pressure controller adjusts pressure around the set point by using a Proportional Flow Control Valve (PFCV) and a high pressure transducer, while the flow controller regulates the flow rate using PFCV and the anode current telemetry of the Hall Thruster. The controllers are chosen as the Proportional and Integral(PI) type, and the PI gains are tuned based on the Matlab simulations. The result of the PCM test had the flow control accuracy of less than ${\pm}$1.87% and the pressure control accuracy of less than ${\pm}$5%. This paper describes the design, realization, and performance test results of the PCM.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2009.11a
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• pp.573-577
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• 2009

Dynamic behavior simulation of supersonic engine was performed and PI control algorithm was studied for the buzz control in the inlet and the thrust control. Firstly, required thrust was tracked according to the fuel flow control and then inlet pressure was regulated through the nozzle throat area control so that the buzz margin has the positive all the time. The control was performed according to the change of flight Mach number, altitude and angle of attack. The proportional gain and the integral gain for regulating the buzz margin was induced and simulated. In the results, it was confirmed and satisfied that control target in the operating area was changed the angle of attack from $0^{\circ}$ to $10^{\circ}$ at the flight Mach number of 2.1~3.0.