• Title/Summary/Keyword: Multi-Input Multi-Output

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Modeling and Multivariable Control of a Novel Multi-Dimensional Levitated Stage with High Precision

  • Hu Tiejun;Kim Won-jong
    • International Journal of Control, Automation, and Systems
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    • v.4 no.1
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    • pp.1-9
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    • 2006
  • This paper presents the modeling and multivariable feedback control of a novel high-precision multi-dimensional positioning stage. This integrated 6-degree-of-freedom. (DOF) motion stage is levitated by three aerostatic bearings and actuated by 3 three-phase synchronous permanent-magnet planar motors (SPMPMs). It can generate all 6-DOF motions with only a single moving part. With the DQ decomposition theory, this positioning stage is modeled as a multi-input multi-output (MIMO) electromechanical system with six inputs (currents) and six outputs (displacements). To achieve high-precision positioning capability, discrete-time integrator-augmented linear-quadratic-regulator (LQR) and reduced-order linearquadratic-Gaussian (LQG) control methodologies are applied. Digital multivariable controllers are designed and implemented on the positioning system, and experimental results are also presented in this paper to demonstrate the stage's dynamic performance.

Design of Extended Multi-FNNs model based on HCM and Genetic Algorithm (HCM과 유전자 알고리즘에 기반한 확장된 다중 FNN 모델 설계)

  • Park, Ho-Sung;Oh, Sung-Kwun
    • Proceedings of the KIEE Conference
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    • 2001.11c
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    • pp.420-423
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    • 2001
  • In this paper, the Multi-FNNs(Fuzzy-Neural Networks) architecture is identified and optimized using HCM(Hard C-Means) clustering method and genetic algorithms. The proposed Multi-FNNs architecture uses simplified inference and linear inference as fuzzy inference method and error back propagation algorithm as learning rules. Here, HCM clustering method, which is carried out for the process data preprocessing of system modeling, is utilized to determine the structure of Multi-FNNs according to the divisions of input-output space using I/O process data. Also, the parameters of Multi-FNNs model such as apexes of membership function, learning rates and momentum coefficients are adjusted using genetic algorithms. An aggregate performance index with a weighting factor is used to achieve a sound balance between approximation and generalization abilities of the model. To evaluate the performance of the proposed model we use the time series data for gas furnace and the NOx emission process data of gas turbine power plant.

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A Study on Operational Software Development and Calibration of Multi-Axis Vibration Testing Device (다축 제어용 가진기의 구동소프트웨어 개발 및 보정에 관한 연구)

  • 정상화;김재열;류신호
    • Transactions of the Korean Society of Automotive Engineers
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    • v.9 no.2
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    • pp.143-151
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    • 2001
  • In the recent day, fatigue life prediction techniques play a major role in the design of components in the ground vehicle industry. Full scale durability testing in the laboratory is an essential of any fatigue life evaluation of components or structure of the automotive vehicle. Component testing is particularly important in todey's highly competitive industries where the design to reduce weight and production costs must be balanced with the necessity to avoid expensive service failure. Generally, Multi-axis durability testing device is used to carry out the fatigue test. In this paper, The operation software for simultaneously driving Multi-axis vibration testing device is developed and the input and output data are displayed in windows of PC controller with real time. Moteover the characteristics of the displacement and the load of Multi-axis actuators are calibrated separately.

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Design and Control of Interleaved Boost converter for Multi-string PV Inverter (멀티스트링 태양광 인버터용 인터리브드 부스트 컨버터의 설계 및 제어)

  • Kang, Young-Ju;Cha, Han-Ju
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.3
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    • pp.538-543
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    • 2011
  • In this paper, design and control of an interleaved boost converter for multi-string PV Inverter are discussed. Interleaved Boost converter can reduce current ripples at input and output side by cancelling an each phase of inductor currents. Therefore, it contributes to increase efficiency and downsize the whole system volume, cost. One of the advantages of the multi-string system is easy to expand power capacity by connecting the converter modules in parallel. In order to reduce current ripples, the inductor currents on each phase are controlled independently in the converter module, and communication between the converter modules is required for further ripple current reduction. Current control algorithm for the balance of the each phase ripple currents and synchronization of the converter modules based on communication are proposed and implemented in the DSP programming. 10kW prototype of the multi-string converter module is assembled and experimental results are presented to verify the proposed ripple current reduction methods.

Energy-Efficient Cooperative Beamforming based CMISO Transmission with Optimal Nodes Deployment in Wireless Sensor Networks

  • Gan, Xiong;Lu, Hong;Yang, Guangyou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.8
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    • pp.3823-3840
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    • 2017
  • This paper analyzes the nodes deployment optimization problem in energy constrained wireless sensor networks, which multi-hop cooperative beamforming (CB) based cooperative-multi-input-single-output (CMISO) transmission is adopted to reduce the energy consumption. Firstly, we establish the energy consumption models for multi-hop SISO, multi-hop DSTBC based CMISO, multi-hop CB based CMISO transmissions under random nodes deployment. Then, we minimize the energy consumption by searching the optimal nodes deployment for the three transmissions. Furthermore, numerical results present the optimal nodes deployment parameters for the three transmissions. Energy consumption of the three transmissions are compared under optimal nodes deployment, which shows that CB based CMISO transmission consumes less energy than SISO and DSTBC based CMISO transmissions. Meanwhile, under optimal nodes deployment, the superiorities of CB based CMISO transmission over SISO and DSTBC based CMISO transmissions can be more obvious when path-loss-factor becomes low.

Innovative Model-Based PID Control Design for Bus Voltage Regulation with STATCOM in Multi-Machine Power Systems (STATCOM을 사용한 다기 전력 계통의 버스 전압 조절을 위한 모델 기반 PID 제어기 설계)

  • Kim, Seok-Kyoon;Lee, Young Il;Song, Hwachang;Kim, Jung-Su
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.4
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    • pp.299-305
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    • 2013
  • The complexity and severe nonlinearity of multi-machine power systems make it difficult to design a control input for voltage regulation using modern control theory. This paper presents a model-based PID control scheme for the regulation of the bus voltage to a desired value. To this end, a fourth-order linear system is constructed using input and output data obtained using the TSAT (Transient Security Assessment Tool); the input is assumed to be applied to the grid through the STATCOM (STATic synchronous COMpensator) and the output from the grid is a bus voltage. On the basis of the model, it is identified as to which open-loop poles of the system make the response to a step input oscillatory. To reduce this oscillatory response effectively, a model-based PID control is designed in such a way that the oscillatory poles are no longer problematic in the closed loop. Simulation results show that the proposed PID control dampens the response effectively.

Transient Performance of a Hybrid Electric Vehicle with Multiple Input DC-DC Converter

  • Nashed, Maged N.F.
    • Journal of Power Electronics
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    • v.3 no.4
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    • pp.230-238
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    • 2003
  • Electric vehicles (EV) demands for greater acceleration, performance and vehicle range in pure electric vehicles plus mandated requirements to further reduce emissions in hybrid electric vehicles (HEV) increase the appeal for combined on-board energy storage systems and generators. And the power electronics plays an important role in providing an interface between fuel cells (FC) and loads. This paper deals with a multiple input DC-DC power converter devoted to combine the power flowing of multi-source on energy systems. The multi-source is composed of (i) FC system as a prime power demands, (ii) super capacitor banks as energy storage devices for high and intense power demands, (iii) superconducting magnetic energy storage system (SMES), (iv) multiple input DC-DC power converter and (v) a three phase inverter-fed permanent magnet synchronous motor as a drive. In this system, It is used super capacitor banks and superconducting magnetic energy replaces from the battery system. The modeling and transient performance simulation is effective for reducing transient influence caused by sudden charge of effective load. The main purpose of power electronic converters is to convert the DC power output from the fuel cell and other to a suitable AC voltage, which can be connected to electric loads directly (PMSM). The fuel cell and other output is connected to the DC-DC converter, which regulates the DC link voltage.

Trends and Advances in Multi-Cell MISO/MIMO Technologies

  • Seong, Yeong-Cheol;Park, Ju-Ho;Kim, Dong-Geon
    • Information and Communications Magazine
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    • v.29 no.8
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    • pp.34-41
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    • 2012
  • 본 고에서는 LTE-Advanced 및 Beyond 4G 이동 통신 시스템에서 셀 경계 지역 간섭 문제 해결 및 전송률 향상을 위해 핵심기술로 간주되는 다중 안테나를 사용한 다중 셀 기지국 협력전송 방법에 대해 살펴본다. 특히, 다중 셀 통신 환경을 다중입력 단일출력(multiple-input single-output. MISO) 및 다중입력 다중출력 (multiple-input multiple-output, MIMO) 무선 간섭 채널로 모델링할 수 있는데, 이러한 MISO 및 MIMO 간섭 채널에서의 협력 및 분산 통신 방법에 관해 진행된 최근의 주요 연구 결과들을 소개한다.

Implementation of Communication Unit for KOMPSAT-II (다목적실용위성 2호기의 통신 부호화기 구현)

  • 이상택;이종태;이상규
    • Proceedings of the IEEK Conference
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    • 2003.11c
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    • pp.378-381
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    • 2003
  • The Channel Coding Unit (CCU) is an integral component of Payload Data Transmission System (PDTS) for the Multi-Spectral Camera (MSC) data. The main function of the CCU is channel coding and encryption. CCU has two channels (I & Q) for data processing. The input of CCU is the output of DCSU (Data Compression & Storage Unit). The output of CCU is the input of QTX which modulate data for RF communication. In this paper, there are the overview, short H/W description and operation concept of CCU.

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A development of multi-step neural network predictive controller (다단 신경회로망 예측제어기 개발)

  • 이권순
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.35C no.8
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    • pp.68-74
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    • 1998
  • The neural network predictiv econtroller (NNPC) is proposed for the attempt to mimic the function of brain that forecasts the future. It consists of two loops, one is for the prediction of output (NNP:neural network predictor) and the other one is for control the plant(NNC: neural network controller). The output of NNC makes the control input of plant, which is followed by the variation of both plant error and predictin error. The NNP forecasts the future output based upon the current control input and the estimated control output. The input and the output data of a system and a new method using evolution strategy are used to train the NNP. A two-step NNPC is applied to control the temeprature in boiler systems. It was compared with PI controller and auto-tuning PID controller. The computer simulaton and experimental results show that the proposed method has better performances than the other method.

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