• 제목/요약/키워드: Optimal Control Technology

검색결과 1,619건 처리시간 0.028초

New Algorithm for Recursive Estimation in Linear Discrete-Time Systems with Unknown Parameters

  • Shin Vladimir;Ahn Jun-Il;Kim Du-Yong
    • International Journal of Control, Automation, and Systems
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    • 제4권4호
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    • pp.456-465
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    • 2006
  • The problem of recursive filtering far linear discrete-time systems with uncertainties is considered. A new suboptimal filtering algorithm is herein proposed. It is based on the fusion formula, which represents an optimal mean-square linear combination of local Kalman estimates with weights depending on cross-covariances between local filtering errors. In contrast to the optimal weights, the suboptimal weights do not depend on current measurements, and thus the proposed algorithm can easily be implemented in real-time. High accuracy and efficiency of the suboptimal filtering algorithm are demonstrated on the following examples: damper harmonic oscillator motion and vehicle motion constrained to a plane.

An Optimized PI Controller Design for Three Phase PFC Converters Based on Multi-Objective Chaotic Particle Swarm Optimization

  • Guo, Xin;Ren, Hai-Peng;Liu, Ding
    • Journal of Power Electronics
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    • 제16권2호
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    • pp.610-620
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    • 2016
  • The compound active clamp zero voltage soft switching (CACZVS) three-phase power factor correction (PFC) converter has many advantages, such as high efficiency, high power factor, bi-directional energy flow, and soft switching of all the switches. Triple closed-loop PI controllers are used for the three-phase power factor correction converter. The control objectives of the converter include a fast transient response, high accuracy, and unity power factor. There are six parameters of the controllers that need to be tuned in order to obtain multi-objective optimization. However, six of the parameters are mutually dependent for the objectives. This is beyond the scope of the traditional experience based PI parameters tuning method. In this paper, an improved chaotic particle swarm optimization (CPSO) method has been proposed to optimize the controller parameters. In the proposed method, multi-dimensional chaotic sequences generated by spatiotemporal chaos map are used as initial particles to get a better initial distribution and to avoid local minimums. Pareto optimal solutions are also used to avoid the weight selection difficulty of the multi-objectives. Simulation and experiment results show the effectiveness and superiority of the proposed method.

Throughput Analysis and Optimization of Distributed Collision Detection Protocols in Dense Wireless Local Area Networks

  • Choi, Hyun-Ho;Lee, Howon;Kim, Sanghoon;Lee, In-Ho
    • Journal of Communications and Networks
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    • 제18권3호
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    • pp.502-512
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    • 2016
  • The wireless carrier sense multiple access with collision detection (WCSMA/CD) and carrier sense multiple access with collision resolution (CSMA/CR) protocols are considered representative distributed collision detection protocols for fully connected dense wireless local area networks. These protocols identify collisions through additional short-sensing within a collision detection (CD) period after the start of data transmission. In this study, we analyze their throughput numerically and show that the throughput has a trade-off that accords with the length of the CD period. Consequently, we obtain the optimal length of the CD period that maximizes the throughput as a closed-form solution. Analysis and simulation results show that the throughput of distributed collision detection protocols is considerably improved when the optimal CD period is allocated according to the number of stations and the length of the transmitted packet.

원추형 자기 베어링 지지 무마찰 구동장치의 위치제어 (Position control of the frictionless positioning device suspended by cone-shaped active magnetic bearings)

  • 정호섭;이종원
    • 제어로봇시스템학회논문지
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    • 제2권3호
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    • pp.181-187
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    • 1996
  • A frictionless positioning device using cone-shaped active magnetic bearings(AMBs) is developed, which is driven by a brushless DC motor equipped with resolver. The cone-shaped AMB feature that the structure is simple and yet the five d.o.f. rotor motion is controlled by four magnet pairs. A linearized dynamic model, which accounts for the relationship between input voltage and output current in the cone-shaped magnet, is developed and the azimuth motion of the frictionless positioning device is modeled as the second order system. The feedback controller is designed by using linear quadratic regulator with integral action optimal control law so that the cone-shaped AMB system is stabilized and the frictionless positioning device gets the zero steady state. It is observed that the linearized dynamic model is adequate and the frictionless positioning device can achieve the tracking accuracy within the sensor resolution.

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A Decentralized Optimal Load Current Sharing Method for Power Line Loss Minimization in MT-HVDC Systems

  • Liu, Yiqi;Song, Wenlong;Li, Ningning;Bai, Linquan;Ji, Yanchao
    • Journal of Power Electronics
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    • 제16권6호
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    • pp.2315-2326
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    • 2016
  • This paper discusses the elimination of DC voltage deviation and the enhancement of load current sharing accuracy in multi-terminal high voltage direct current (MT-HVDC) systems. In order to minimize the power line losses in different parallel network topologies and to insure the stable operation of systems, a decentralized control method based on a modified droop control is presented in this paper. Averaging the DC output voltage and averaging the output current of two neighboring converters are employed to reduce the congestion of the communication network in a control system, and the decentralized control method is implemented. By minimizing the power loss of the cable, the optimal load current sharing proportion is derived in order to achieve rational current sharing among different converters. The validity of the proposed method using a low bandwidth communication (LBC) network for different topologies is verified. The influence of the parameters of the power cable on the control system stability is analyzed in detail. Finally, transient response simulations and experiments are performed to demonstrate the feasibility of the proposed control strategy for a MT-HVDC system.

견마로봇의 전력제어 및 최적 운용에 대한 연구 (Study on Power Control and Optimal Management for Dog-Horse Robot)

  • 강태하;허진욱;김준;강신천
    • 한국군사과학기술학회지
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    • 제13권3호
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    • pp.343-348
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    • 2010
  • Recently, unmanned electric vehicles are increasingly interested among all of the world since they can provide low exhaust gas, high efficiency and high mobility. To exploit their silent maneuver and high mobility, unmanned electric vehicles have been developed since early 1980's for military. However, it is not easy to design and control a power system satisfying operating duration and mobility performance requirements based on various mission profiles for military use under the conditions of limited space and weight. Moreover it is also necessary to prevent over-charge, over-discharge and voltage unbalance between cells of battery to secure high voltage battery which is serially connected with muti-cells. In this paper, we presents power control and optimal management method for the dog-horse robot which adopts a electric power system and suggests a guide-line to manage and control to secure high voltage battery.

Near optimal production scheduling for multi-unit batch process

  • Kim, Kyeong-Sook;Cho, Young-Sang
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.1718-1723
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    • 1991
  • The determination of a production sequence is an important problem in a batch process operation. In this paper a new algorithm for a near optimal production sequence of N product in an M unit serial multiproduct batch process is proposed. The basic principle is the same as that of Johnson's algorithm for two-unit UIS system. Test results on a number of selected examples exhibit the superiority over previously reported results. In addition, a tabulation technique is presented to calculate the makespan of a given sequence of production for all processing units under UIS mode.

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Cell Transmission Model 시뮬레이션을 기반으로 한 클라우드 환경 아래에서의 고속도로 교통 예측 및 최적 제어 시스템 개발 (Development of Traffic Prediction and Optimal Traffic Control System for Highway based on Cell Transmission Model in Cloud Environment)

  • 탁세현;여화수
    • 한국ITS학회 논문지
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    • 제15권4호
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    • pp.68-80
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    • 2016
  • 자율주행 차량은 다양한 센서를 활용하여 사람과 유사한 수준으로 실시간 도로환경 변화를 인지, 환경 변화에 대한 적절한 판단 및 제어를 수행하여야 한다. 특히 영상센서는 차선인식 기능을 통해 주행방향 결정 및 차로이탈 방지 등 조향제어 수행을 위한 인지에 활용된다. 하지만 관련 성능기준은 ADAS(Advanced Driver Assistance System)와 연계된 '운전자 보조' 역할에 초점이 맞춰져, 자율주행시 요구되는 '주체적 상황 인지'를 위한 성능조건과 다를 것으로 판단된다. 본 연구에서는 자율주행시 차선인식 기능이 정상적으로 작동되지 않는 상황이 지속될 때 차량 진행방향과 도로 선형방향의 불일치에 따라 발생되는 횡방향 차로이탈을 차량의 이동 궤적을 기반하여 추정하고, 안전성 확보를 위한 차로이탈 허용 수준 및 영상센서 성능수준을 제시하였다. 분석 결과 승용차 조건에서 차선인식 기능이 1초 이상 연속적인 오작동을 일으킨다면 차로이탈에 의한 위험한 상황에 놓일 수 있는 것으로 나타났다. 따라서 자율주행 차량을 위한 차선인식 기능 평가 시 현재 기준보다 큰 횡방향 차로이탈상황에 대한 검토가 필요할 것으로 판단된다.

외란을 고려한 열차간격 최적제어 알고리즘 연구 (Study of an Optimal Control Algorithm for Train Interval Under Disturbance)

  • 김기웅;이종우;박민기
    • 한국철도학회논문집
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    • 제18권5호
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    • pp.419-425
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    • 2015
  • 도시철도 운행시스템에서 외란에 의해 지연이 발생하면 열차 사이에 간격편차가 발생하고 열차운행 상황이 불안정해진다. 따라서 이러한 불안정한 열차운행을 방지하기 위해서는 열차간격을 적절하게 제어하는 것이 필요하다. 본 논문에서는 상용 도시철도 운행시스템에서 외란에 의해 지연이 발생하는 경우에 안정한 운행을 위하여 간단하면서 효과적으로 적용할 수 있는 열차간격 최적제어 알고리즘을 제안한다. 제안한 알고리즘은 실시간 열차간격 편차의 크기에 따라 제어 대상열차를 결정하고 이산 열차간격 모델을 이용하여 대상열차의 정차시간을 조절함으로써 모든 열차가 적정 운행간격을 유지하도록 제어한다. 또한 시뮬레이션을 통하여 제안한 방법의 유효성을 확인한다.

IDENTIFICATION PROBLEMS OF DAMPED SINE-GORDON EQUATIONS WITH CONSTANT PARAMETERS

  • Ha, Jun-Hong;Nagiri, Shin-ichi
    • 대한수학회지
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    • 제39권4호
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    • pp.509-524
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    • 2002
  • We Study the Problems Of identification for the damped sine-Gordon equations with constant parameters. That is, we establish the existence and necessary conditions for the optimal constant parameters based on the fundamental optimal control theory and the transposition method studied in Lions and Magenes [5].