• Title/Summary/Keyword: Multi-loop control

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Coordinated Control of the Reactive Power Compensator Using a Genetic Algorithm (GA를 이용한 무효전력 보상기의 협조제어)

  • 이송근
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.52 no.1
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    • pp.58-61
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    • 2003
  • A loop power system has a nonlinear characteristics. Also it is very hard to analyse through a equation if a discontinuous characteristic of the ULTC is added to a system. However, the problem which is hard to analyse by equations can acquire the useful result with what use the genetic algorithm (GA) which is a multi-point search program. In this paper, we proved through a simulation that the proposed method can reduce an operation frequency of tap changers and improving the quality of voltage of the buses by decreasing the deviation between the actual voltage and the reference voltage through the coordinated control of the ULTC that use GA in the loop power system.

Decentralized Nonlinear Voltage Control of Multi-machine Power Systems with Nonlinear Interconnections

  • Lee, Jae-Won;Yoon, Tae-Woong;Im, Sun
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.448-453
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    • 2004
  • In this paper, an adaptive robust decentralized excitation control scheme is proposed to enhance the transient stability of a multi-machine power system. We employ a state model where the terminal voltage of each generator is regarded as part of the state. Using this state model, the proposed controller is obtained in two steps: firstly, a robust controller is designed for the nominal system with no interconnection terms; then an adaptive compensator is proposed to deal with those interconnection terms, whose upper bounds are estimated. The resulting adaptive scheme guarantees the practical stability of the closed-loop, and also the uniform ultimate boundedness in the presence of disturbances.

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ROBUST CONTROL OF POSITIONING SYSTEMS WITH A BANG-BANG ACTUATOR (뱅-뱅 액츄에이터를 가진 위치 제어계의 강인제어)

  • 최진태;김종식
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.456-460
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    • 1996
  • A nonlinear control scheme for preventing limit cycle due to the nonlinearity of themulti-step bang-bang actuator in mechanical position control systems is proposed. A linearized model, SIDF, fora multi-step bang-bang actuator is introduced to compensate the nonlinearity of the multi-step bang-bang actuator. Using that model, a $H_{\infty}$robust controller for position control systms with a bang-bang actuator is proposed by loop shaping tecniques with normalized coprime factorization stabilization to address the robustness. The proposed scheme needs a smaller deadband as a result of compensating the nonlinearity of the bang-bang actuator. A single-axis servo system is served in order to verify the proposed control scheme experimentally. Experimental results show that the controller can satisfy the special intersts, silent contact switching of the actuator.r.

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Longitudinal Tension Control at Start and Stop in a Multi-span Continuous Process System (변속시의 멀티 스팬 연속 공정 시스템의 장력제어)

  • 신기현;권순오
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.584-589
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    • 1994
  • A time-varying nonlinear mathematical model was derived to consider the effect of change in roll radius on tension varation during winding and unwinding. A variable-gain PID controller was designed for tension control at start and stop in a multi-span continuous process system. The controller gains are updated at every control loop as roll radii continuously change. Computer simulation was carried out by using the mathematical model and the controller developed for a typical operating condition including acceleration and deceleration. When the variable-gain PID controller was used, the tension control performance was improved compared with that of existing control method during start-up and stop.

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New Switch-Control Technique for Multiphase Interleaved Converters with Current Sharing and Voltage Regulation

  • Thongbuaban, Ponlawat;Jantharamin, Niphat
    • Journal of international Conference on Electrical Machines and Systems
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    • v.1 no.1
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    • pp.99-103
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    • 2012
  • This paper presents a new switch-control approach for multiphase interleaved converters. Development of the proposed technique is based on control-signal generation for multi-unit synchronization. Current sharing among the switching cells and voltage regulation are achieved by means of a multi-loop control scheme regardless of changes in input voltage and load. System stability is ensured by single-pole compensation. This proposed technique is straightforward, reliable and inexpensive, and can be applied to any higher number of cells without difficulty.

Network Type Distributed Control with Multi-Backup Function Controller (다중 백업 기능 제어기를 갖는 네트워크형 분산 제어)

  • Choi, Goon Ho
    • Journal of the Semiconductor & Display Technology
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    • v.13 no.4
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    • pp.37-42
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    • 2014
  • Stable running is a very important factor when we are building a control system. But, sometimes malfunction of the system controller is caused by several reasons. To solve these problems, some systems have prepared a backup controller. In the generality of cases, making a backup controller is no easy work. Especially, it becomes more difficult when many backup controllers have to be embodied in one system. In this paper, the multi-backup function controller which was implemented in the form of the network type distributed control system will be suggested. Also, using Arago Disk System that has a structure for inner loop control, the validity of the proposed methods will be verified.

Tracking Control of Servo System using Fuzzy Logic Cross Coupled Controller (퍼지 논리형 상호결합 제어기를 이용한 서보 시스템의 추적제어)

  • 신두진;허욱열
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.8
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    • pp.361-366
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    • 2001
  • This thesis proposes a fuzzy logic cross coupled controller for a multi axis servo system. The overall control system consists of three elements: the axial position controller, the speed controller, and a fuzzy logic cross coupled controller. In conventional multi axis servo system, the motion of each axis is controlled independently without regard to the motion of other axes, in which the contour error, defined as the shortest distance between the desired and actual contours is compensated only by the position error of each axis. This decoupled control approach may result in degraded contouring performance due to such factors as mismatch of axial dynamics and axial loop gains. In practice, such systems contain many uncertainties, Therefore, the multi axis servo system must receive and evaluate the motion of all axes for a better contouring accuracy. Cross coupled controller utilizes all axis position error information simultaneously to produce accurate contours. However the existing cross coupled controllers cannot overcome friction, backlash and parameter variation. Also, since it is difficult to obtain an accurate mathematical model of multi axis system, here we investigate a fuzzy logic cross coupled controller method. Some simulations and experimental results are presented to illustrate the performance of the proposed controller.

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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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    • v.16 no.2
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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.

A Study on a Control Language for the Configuration of Process Controllers (공정 제어기 구성을 위한 제어 언어에 관한 연구)

  • Seo, Chang-Jun;Kim, Byung-Kook
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.11
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    • pp.36-44
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    • 1994
  • In this paper, a high-level process control language is developed to construct multi-loop controllers for large scale process control systems. Function locks are defined which are basic functions necessary to configure a multi-loop controller. Each block is presented to the function code which is a line of ASCII codes and has the characteristics to be simple and to be easily understood. A control algorithm for a process is attained by means of the arrangement of function codes with order. In order to be used to various environments of target hardwares, a transformation program is prepared that transfers a control program configured by function codes to a C-language program. The proposed control language is easy and simple to use, possible to expend, and able to apply to various control systems. Simulation results are included to show the availability for the usage of the proposed control language in real world.

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MIMO Robust Adaptive Fuzzy Controller

  • Zhang, Huaguang;Bien, Zeungnam;Yinguo, Piao
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.10a
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    • pp.341-345
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    • 1997
  • A novel fuzzy basis function vector-based adaptive control approach for Multi-input and Multi-output(MIMO) system is presented in this paper, in which the nonlinear plants is first linearised, the fuzzy basis function vector is then introduced to adaptively learn the upper bound of the system uncertainty vector, and its output is used as the parameters of the compensator in the sense that both the asymptotic error convergence can be obtained for the colsed loop nonlinear control system.

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