• 제목/요약/키워드: Multi control

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WCDMA LCR-TDD 시스템에서 다중 레벨 제어 시그날링이 적용된 ARQ 기반 하향링크 TSTD의 성능 (Performance of ARQ-aided Downlink Time Switched Transmit Diversity with multi-level Control Signaling in the WCDMA LCR-TDD System)

  • 전차을;황승훈
    • 대한전자공학회논문지TC
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    • 제47권12호
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    • pp.61-68
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    • 2010
  • 본 논문에서는 WCDMA LCR-TDD 시스템에서 멀티레벨 제어 신호 방식을 적용한 하향 링크 ARQ-TSTD (ARQ-aided Time Switched Transmit Diversity)의 성능을 계산한다. 제안된 ARQ-TSTD는 멀티레벨 제어 선호 방식을 적용하여 수신측이 에러체크를 수행한 후 송신측으로 기존의 응답신호 (ACK or NACK or 신호) 이외에 NACK2 선호를 정의하고 이를 피드백한다. 송신측은 NACK2 신호를 본 논문에서 제안한 전송지연과 다중사용자 스케줄링 방식을 적용하는데 활용한다. 시뮬레이션 결과는 3km/h의 이동국 속도에서 프레임 오류 확률 (Frame Error Rate)이 10%일 때 5개 서브프레임 전송지연 방식, 2명의 사용자 스케줄링 방식이 각각 약 1.3dB, 약1.4dB의 성능향상이 있었다. 그리고 Eb/N0=-3dB에서 각각 약 14% 11.5%의 수율 성능 이득이 있었다.

Development of Nonlinear Control Algorithm for Automatic Berthing of Ships

  • 원문철;홍성국;정윤하;김선영;손남선;윤현규
    • 한국해양공학회:학술대회논문집
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    • 한국해양공학회 2006년 창립20주년기념 정기학술대회 및 국제워크샵
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    • pp.359-362
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    • 2006
  • This study develops an automatic berthing control algorithm for ships with a bow thruster and a stern thruster as well as a rudder. A nonlinear mathematical model for low speed maneuvering of ships is used to develop a MIMO(multi-input multi-output) nonlinear control algorithm. The algorithm consists of two parts, which are forward velocity control and heading angle control. The control algorithm is designed based on the longitudinal and yaw dynamic models of ships. The desired heading angle is obtained by the so called "Line of Sight" method. An optimal control force allocation method of the rudder and the thrusters is suggested. The nonlinear control algorithms are tested by numerical simulations using MATLAB, and shows good tracking performances.

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다목적 유전자알고리즘을 이용한 첨단기술산업 시설물의 스마트 미진동제어 (Smart Microvibration Control of High-Tech Industry Facilities using Multi-Objective Genetic Algorithm)

  • 김현수;강주원;김영식
    • 한국공간구조학회논문집
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    • 제13권2호
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    • pp.37-45
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    • 2013
  • Reduction of microvibration is regarded as important in high-technology facilities with high precision equipments. In this paper, smart control technology is used to improve the microvibration control performance. Mr damper is used to make a smart base isolation system amd fuzzy logic control algorithm is employed to appropriately control the MR damper. In order to develop optimal fuzzy control algorithm, a multi-objective genetic algorithm is used in this study. As an excitation, a train-induced ground acceleration is used for time history analysis and three-story example building structure is employed. Microvibration control performance of passive and smart base isolation systems have been investigated in this study. Numerical simulation results show that the multi-objective genetic algorithm can provide optimal fuzzy logic controllers for smart base isolation system and the smart control system can effectively reduce microvibration of a high-technology facility subjected to train-induced excitation.

공정제어 구조합성에서의 상호작용 해석 (Interaction Analysis in Process Control System Structure Synthesis)

  • 고재욱
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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    • pp.643-646
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    • 1987
  • A criterion is developed for the, selection of the best pairing of the control and manipulated variables and for the interaction analysis of decentralized multi-input multi-output control systems. This criterion is based on the difficulty caused by the interaction terms in finding the in-verse of the block steady gain matrix. A quantitative measure of the best pairing is obtained from the resemblance of a set of independent block multi-loop systems. Several examples show the validity of the pairing criterion.

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ATTITUDE AND CONFIGURATION CONTROL OF FLEXIBLE MULTI-BODY SPACECRAFT

  • Choi, Sung-Ki;Jone, E.;Cochran, Jr.
    • Journal of Astronomy and Space Sciences
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    • 제19권2호
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    • pp.107-122
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    • 2002
  • Multi-body spacecraft attitude and configuration control formulations based on the use of collaborative control theory are considered. The control formulations are based on two-player, nonzero-sum, differential game theory applied using a Nash strategy. It is desired that the control laws allow different components of the multi-body system to perform different tasks. For example, it may be desired that one body points toward a fixed star while another body in the system slews to track another satellite. Although similar to the linear quadratic regulator formulation, the collaborative control formulation contains a number of additional design parameters because the problem is formulated as two control problems coupled together. The use of the freedom of the partitioning of the total problem into two coupled control problems and the selection of the elements of the cross-coupling matrices are specific problems ad-dressed in this paper. Examples are used to show that significant improvement in performance, as measured by realistic criteria, of collaborative control over conventional linear quadratic regulator control can be achieved by using proposed design guidelines.

다중 학습 알고리듬을 이용한 평면형 병렬 매니퓰레이터의 Fuzzy 논리 제어 (Fuzzy logic control of a planar parallel manipulator using multi learning algorithm)

  • 송낙윤;조황
    • 제어로봇시스템학회논문지
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    • 제5권8호
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    • pp.914-922
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    • 1999
  • A study on the improvement of tracking performance of a 3 DOF planar parallel manipulator is performed. A class of adaptive tracking control sheme is designed using self tuning adaptive fuzzy logic control theory. This control sheme is composed of three classical PD controller and a multi learning type self tuning adaptive fuzzy logic controller set. PD controller is tuned roughly by manual setting a priori and fuzzy logic controller is tuned precisely by the gradient descent method for a global solution during run-time, so the proposed control scheme is tuned more rapidly and precisely than the single learning type self tuning adaptive fuzzy logic control sheme for a local solution. The control performance of the proposed algorithm is verified through experiments.

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에어컨시스템에 대한 계층적 공정 경쟁 유전자 알고리즘을 이용한 최적화된 다중 퍼지제어기 설계 (Design of Optimized Multi-Fuzzy Controllers by Hierarchical Fair Competition-based Genetic Algorithms for Air-Conditioning System)

  • 정승현;최정내;김현기;오성권
    • 제어로봇시스템학회논문지
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    • 제13권4호
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    • pp.344-351
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    • 2007
  • In this paper, we propose an approach to design multi-fuzzy controllers for the superheat and the low pressure that have an influence on energy efficiency and stabilization of air conditioning system with multi-evaporators. Air conditioning system with multi-evaporators is composed of compressor, condenser, several evaporators and several expansion valves. It is quite difficult to control the air conditioning system because the change of the refrigerant condition give an impact on the overall air conditioning system. In order to solve the drawback, we design multi-fuzzy controllers which control simultaneously both three expansion valve and one compressor for the superheat and the low pressure of air conditioning system. The proposed multi fuzzy controllers are given as a kinds of controller types such as a simplified fuzzy inference type. Here the scaling factors of each fuzzy controller are efficiently adjusted by Hierarchical Fair Competition-based Genetic Algorithms. The values of performance index of the simulation results of the A company type compare with simulation results of simplified inference type.

Multi-Radio 무선 메쉬 네트워크에서의 토폴로지 제어를 위한 클러스터링 기법 (Clustering Approach for Topology Control in Multi-Radio Wireless Mesh Networks)

  • 마 빅토리아 께;황원주
    • 한국정보통신학회논문지
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    • 제11권9호
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    • pp.1679-1686
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    • 2007
  • 클러스터링은 ad hoc네트워크에서 확장성 개선과 네트워크 수명 연장뿐만 아니라 클러스터 내 멤버 관리기능과 링크용량을 개선해주는 토폴로지 제어 기법이다. 본 논문에서는 단말의 이동성과 네트워크의 이종성을 고려하여 multi-radio무선 메쉬 네트워크를 위한 클러스터링 알고리즘을 설계하였다. 수학적 분석을 통하여 제안 알고리즘은 시간 t내에 종료되며, 메시지 제어 처리를 위한 복잡도는 각 노드 당 O(1)임을 알 수 있었다. 이는 본 제안 알고리즘을 적용함으로써 무선 메쉬 네트워크의 안정성, 연결성, 확장성과 에너지 효율성이 향상됨을 알 수 있었다.

군집 로봇 편대 제어를 위한 협력 입자 군집 최적화 알고리즘 기반 모델 예측 제어 기법 (Cooperative Particle Swarm Optimization-based Model Predictive Control for Multi-Robot Formation)

  • 이승목;김한근;명현
    • 제어로봇시스템학회논문지
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    • 제19권5호
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    • pp.429-434
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    • 2013
  • This paper proposes a CPSO (Cooperative Particle Swarm Optimization)-based MPC (Model Predictive Control) scheme to deal with formation control problem of multiple nonholonomic mobile robots. In a distributed MPC framework, each robot needs to optimize control input sequence over a finite prediction horizon considering control inputs of the other robots where their cost functions are coupled by the state variables of the neighboring robots. In order to optimize the control input sequence, a CPSO algorithm is adopted and modified to fit into the formation control problem. Experiments are performed on a group of nonholonomic mobile robots to demonstrate the effectiveness of the proposed CPSO-based MPC for multi-robot formation.

다품종 소량생산 공정을 위한 규칙기반 공정관리 시스템 (Rule-based Process Control System for multi-product, small-sized production)

  • 임광혁
    • 한국산업정보학회논문지
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    • 제15권1호
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    • pp.47-57
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    • 2010
  • 다품종 소량생산 공정에서는 동일 특성을 가지는 제품의 제작 개수가 절대적으로 적기 때문에 전통적인 공정제어 기법인 통계적 공정관리(Statistical Process Control)를 적용하기에는 어려움이 많이 존재한다. 그러므로 통계적인 접근법과 아울러 다양한 제품 특성을 규정짓기 위한 다양한 조건의 조합으로 이루어지는 SPEC규칙, 그리고 엔지니어의 경험에 기반한 노하우가 응집되어 있는 KNOWHOW규칙을 유연하게 설정하여 공정을 제어할 수 있는 규칙기반 공정관리 기술의 접목이 필요하다. 본 연구는 다품종 소량생산 공정에 적용 가능한 규칙기반 공정관리(Rule-based Process Control) 시스템을 제안하고, 이 시스템을 실제 반도체 생산 공정에 적용하여 그 성과를 검증하였다.