• 제목/요약/키워드: CO control algorithm

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Robust Zero Power Levitation Control of Quadruple Hybrid EMS System

  • Cho, Su-Yeon;Kim, Won-Ho;Jang, Ik-Sang;Kang, Dong-Woo;Lee, Ju
    • Journal of Electrical Engineering and Technology
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    • 제8권6호
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    • pp.1451-1456
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    • 2013
  • This paper presents the improved zero power levitation control algorithm for a quadruple hybrid EMS (Electromagnetic Suspension) system. Quadruple hybrid EMS system is a united form of four hybrid EMS systems one on each corner coupled with a metal plate. Technical issue in controlling a quadruple hybrid EMS system is the permanent magnet's equilibrium point deviation caused by design tolerance which eventually leads to a limited zero power levitation control that only satisfies the zero power levitation in one or two hybrid EMS system among the four hybrid EMS system. In order to satisfy a complete zero power levitation control of the quadruple hybrid EMS system, the proposed method presented in this paper adds a compensating algorithm which adjusts the gap reference of each individual axe. Later, this paper proves the stability and effectiveness of the proposed control algorithm via experiment and disturbance test.

라그랑즈 보간법과 신경망을 이용한 $CO_2$ 자동차에어컨시스템의 고압설정알고리즘 (The High-side Pressure Setpoint Algorithm of a $CO_2$ Automotive Air Conditioning System by using a Lagrange Interpolation Method and a Neural Network)

  • 한도영;노희전
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2007년도 동계학술발표대회 논문집
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    • pp.29-33
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    • 2007
  • In order to protect the environment from the refrigerant pollution, the $CO_2$ may be regarded as one of the most attractive alternative refrigerants for an automotive air-conditioning system. Control methods for a $CO_2$ system should be different because of $CO_2$'s unique properties as a refrigerant. Especially, the high-side pressure of a $CO_2$ system should be controlled for the effective operation of the system. In this study, the high-side pressure setpoint algorithm was developed by using a neural network and a Lagrange interpolation method. These methods were compared. Simulation results showed that a Lagrange interpolation method was more effective than a neural network in the respect of its easiness of programming and shorter execution time.

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Minimization of Torque Ripple for a Doubly Fed Induction Generator in Medium Voltage Wind Power System under Unbalanced Grid Condition

  • Park, Yonggyun;Suh, Yongsug;Go, Yuran
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2012년도 전력전자학술대회 논문집
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    • pp.273-274
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    • 2012
  • This paper investigates control algorithms for a doubly fed induction generator(DFIG) with a back-to-back three-level neutral-point clamped voltage source converter in medium voltage wind power system under unbalanced grid conditions. Two different control algorithms to compensate for unbalanced conditions are proposed. Evaluation factors of control algorithm are fault ride-through(FRT) capability, efficiency, harmonic distortions and torque pulsation. Zero regulated negative sequence stator current control algorithm has the most effective performance concerning FRT capability and efficiency. Ripple-free control algorithm nullifies oscillation component of active power and reactive power. Ripple-free control algorithm shows the least harmonic distortions and torque pulsation. Combination of zero regulated negative sequence stator current and ripple-free control algorithm control algorithm depending on the operating requirements and depth of grid unbalance presents the most optimized performance factors under the generalized unbalanced operating conditions leading to high performance DFIG wind turbine system.

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GMA 용접에 있어서 아크 안정화를 위한 퍼지제어기 개발에 관한 연구 (Development of Fuzzy Controller for Stabilizing the Arc State in Gas Metal Arc Welding)

  • 강문진;이세헌
    • 한국정밀공학회지
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    • 제16권12호
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    • pp.152-160
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    • 1999
  • The weld quality of $CO_2$ arc welding is closely related to the arc stability. As the characteristics of the arc are excessively complex and nonlinear, it is not easy to make the arc model as mathematical form and to control the arc state to be stabilized. This paper was aimed to estimate the arc stability and to control for stabilizing the arc state in short circuit metal transfer mode of $CO_2$ arc welding. For these purposes, the behaviors of arc stability was investigated at different welding conditions using Mita's arc stability index, and the fuzzy control algorithm which uses the arc stability index as control imput and the arc voltage as control output was developed. In the control of the arc stability, the experiments of two cases were performed; the case of setting an initial welding voltage arbitrarily, the case of the step change in workpiece shape. Obtained results were as follows; Mita's arc stability index was able to be estimated qualitatively in the case of using the inverter type welding power source and the control performance for stabilizing the arc status was excellent in the case of existing step change disturbance.

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스키마 공진화 기법을 이용한 자율이동로봇의 행동제어 (Behavior Control of Autonomous Mobile Robot using Schema Co-evolution)

  • Sun, Joung-Chi;Byung, Jun-Hyo;Bo, Sim-Kwee
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 춘계학술대회 학술발표 논문집
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    • pp.123-126
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    • 1998
  • The theoretical foundations of GA are the Schema Theorem and the Building Block Hypothesis. In the Meaning of these foundational concepts, simple genetic algorithm(SGA) allocate more trials to the schemata whose average fitness remains above average. Although SGA does well in many applications as an optimization method, still it does not guarantee the convergence of a global optimum. Therefore as an alternative scheme, there is a growing interest in a co-evolutionary system, where two populations constantly interact and co-evolve in contrast with traditional single population evolutionary algorithms. In this paper, we propose a new design method of an optimal fuzzy logic controller using co-evolutionary concept. In general, it is very difficult to find optimal fuzzy rules by experience when the input and/or output variables are going to increase. So we propose a co-evolutionary method finding optimal fuzzy rules. Our algorithm is that after constructing two population groups m de up of rule vase and its schema, by co-evolving these two populations, we find optimal fuzzy logic controller. By applying the proposed method to a path planning problem of autonomous mobile robots when moving objects exist, we show the validity of the proposed method.

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Real-Time Response at Motion Control

  • Ha, Young-Youl;Han, Sung-Ho;Woo, Gap-Joo;Kim, Jae-Hoon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.94.2-94
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    • 2002
  • $\textbullet$ The method to have real-time response at the motion control. $\textbullet$ The trajectory generation method guarantees the continuous acceleration in changing the velocity during the actuator is moving. $\textbullet$ We propose the velocity profile generation algorithm in order to change object position or object velocity with continuous acceleration using blending method.

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무인FA를 위한 자율주행 로봇의 경로계획 및 실시간 궤적제어에 관한 연구 (A Study on a Path Planning and Real-Time Trajectory Control of Autonomous Travelling Robot for Unmanned FA)

  • 김현근;심현석;황원준
    • 한국산업융합학회 논문집
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    • 제19권2호
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    • pp.75-80
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    • 2016
  • This study proposes a efficient technology to control the optimal trajectory planning and real-time implementation method which can perform autonomous travelling for unmaned factory automation. Online path planning should plan and execute alternately in a short time, and hence it enables the robot avoid unknown dynamic obstacles which suddenly appear on robot's path. Based on Route planning and control algorithm, we suggested representation of edge cost, heuristic function, and priority queue management, to make a modified Route planning algorithm. Performance of the proposed algorithm is verified by simulation test.

Development of intregrated process control system for plasma etching utilizing neural network and genetic algorithm

  • Koh, Taek-Beom;Cha, Sang-Yeob;Woo, Kwang-Bang;Moon, Dae-Sik;Kwak, Kyu-Hwao;Chang, Ho-Seung
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.252-258
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    • 1995
  • The purpose of this study is to provide the integrated process control system, utilizing neural network modeling, to search for the appropriate choice input, and to keep the process output within the desired rang in the real etch process.

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Co-Evolution Algorithm of Subsumption Architecture for Behavior Learning

  • Kim, Hyun-Young;Sim, Kwee-Bo;Lee, Dong-Wook
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.111.3-111
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    • 2002
  • $\textbullet$introduction $\textbullet$CO-evolution Algorithm $\textbullet$Subsumption Architecture $\textbullet$Neural Network $\textbullet$Khepera Robot

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선형전동기를 적용한 LCD 패널 자동반송용 순환궤도차량 시스템 개발 (Development of OHS System Driven by Linear Motor for Automatic Transfer of LCD Panels)

  • 김원곤;윤종보;박건우;황계호
    • 반도체디스플레이기술학회지
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    • 제7권3호
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    • pp.11-16
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    • 2008
  • The authors investigated an overhead shuttle (OHS) system for automatic transferring the liquid crystal display (LCD) panels. The constructed tracks of OHS system include the linear and curve regions and have been installed on the ceiling to transfer the cassette of LCD glass along the closed-loop and open-loop tracks. In this study, the OHS system was implemented by a proposed linear motor to solve encoder installation and the system cost problems of the long distance transfer system. In addition, we utilized a new algorithm of the position detection and a new control algorithm for driving linear motor. The newly developed control algorithm was demonstrated from both a computer simulation and an experimentation, indicating that the highly reliable and speedy transfer system can enhance the LCD panel productivity of commercial OHS system.

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