• Title/Summary/Keyword: Performance Control

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The Robust Speed Control on Automatic Train Operation Considering Unknown Running Resistance (열차자동운전에 있어서 미지의 주행저항을 고려한 강인한 속도제어)

  • Byun, Yeun-Sub;Wang, Jong-Bae;Park, Hyun-June
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.3
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    • pp.114-119
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    • 2001
  • An automatic train operation(ATO) system executes the operation of constant speed travelling and fixed point parking by using microprocessors instead of driver's manual operation. This paper describes the mathematical model for the train considering unknown disturbances which consist of start resistance, travelling resistance, slope resistance, curve resistance, and so on. The speed controller of ATO system is designed by considering the disturbances. The simulation is executed to verify the speed control and fixed point parking performance and to compare its performance with that of a PID-type ATO control system under disturbances. Simulation results show that the control performance of gain scheduled control scheme for ATO system is better than that of the conventional PID controller.

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Design of Fuzzy PID Controller for Tracking Control (퍼지 PID 제어를 이용한 추종 제어기 설계)

  • Kim, Bong--Joo;Chung, Chung-Chao
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.7
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    • pp.622-631
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    • 2001
  • This paper presents a fuzzy modified PID controller that uses linear fuzzy inference method. In this structure, the proportional and derivative gains vary with the output of the system under control. 2-input PD type fuzzy controller is designed to obtain the varying gains. The proposed fuzzy PID structure maintains the same performance as the same performance as the general-purpose linear PID controller, and enhances the tracking performance over a wide range of input. Numerical simulations and experimental results show the effectiveness of the fuzzy PID controller in comparison with the conventional PID controller.

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A Study on the Performance of Car Active Suspension System by the output Feedback and Sky-hook Control Method (출력귀환과 스카이 훅 제어 방식에 의한 차량 현가 장치의 성능에 관한 연구)

  • 김재열
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.5 no.4
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    • pp.7-16
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    • 1996
  • The dynamic model of the suspension system is developed by using both sky-hook control and output feedback control techniques. based on the performance sensitivity index, Many vehicles use sky-hook control theory operated with only one sensor, due to relatively low cost and easy implementation. On the other hand, output feedback control implemented with state variables has difficulties in measuring such as tire deflection, etc.

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Control of Robot Manipulators Using PD-Sliding Mode hybrid Controller (PD-슬라이딩 모드 복합 제어기를 이용한 로봇 매니퓰레이터의 제어)

  • Lee, Kyu-Joon;Kyung, Tai-Hyun;Kim, Jong-Shik
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.2
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    • pp.89-96
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    • 2002
  • A new chattering free PD-sliding mode hybrid control scheme is proposed for robot manipulators. This hybrid controller is composed of a PD controller and a semi-continuous sliding mode controller. It has a good robust performance in reaching mode which does not possess invariance property of sliding mode, and has chattering free characteristics in sliding mode. Thus, the PD-sliding mode hybrid controller has a good robust performance in the whole region. It is shown that the proposed control has a good transient response and trajectory tracking performance for a 2-link SCARA robot manipulator.

Performance Improvement of Slotless SPMSM Position Sensorless Control in Very Low-Speed Region

  • Iwata, Takurou;Morimoto, Shigeo;Inoue, Yukinori;Sanada, Masayuki
    • Journal of international Conference on Electrical Machines and Systems
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    • v.2 no.2
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    • pp.184-189
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    • 2013
  • This paper proposes a method for improving the performance of a position sensorless control system for a slotless surface permanent magnet synchronous motor (SPMSM) in a very low-speed region. In position sensorless control based on a motor model, accurate motor parameters are required because parameter errors would affect position estimation accuracy. Therefore, online parameter identification is applied in the proposed system. The error between the reference voltage and the voltage applied to the motor is also affect position estimation accuracy and stability, thus it is compensated to ensure accuracy and stability of the sensorless control system. In this study, two voltage error compensation methods are used, and the effects of the compensation methods are discussed. The performance of the proposed sensorless control method is evaluated by experimental results.

A design Scheme of Fuzzy Sliding Mode Controllers for Improving Performance (슬라이딩 모드 제어기의 성능 개선을 위한 제어기 설계 기법)

  • 강종하;권순학;이석규;이달해;박찬규
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.10a
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    • pp.150-155
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    • 1998
  • Sliding mode control is a powerful control methodology for the control of uncertain systems. However, it and its variations have some disadvantages such as chattering and imprecise tracing performance. A novel scheme of the sliding mode control is presented for the accurate tracking control of the uncertain systems. The fuzzy logic-baced control law maintaining stability and consistent performance in the face of modeling imprecise is derived and simulation results showing its effectiveness are presented.

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Asymptotic Decoupled Control of Induction Motors for High Dynamic Performance (동적 고성능 응답을 위한 유도전동기의 근사적 비간섭 제어)

  • 김동일;고명삼;하인중;박재화
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.38 no.11
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    • pp.877-887
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    • 1989
  • In this paper, we attempt to achieve high dynamic performance by means of decoupled control of rotor speed and flux. Recently developed nonlinear feedback control theories are utilized. The rotor fluxes are estimated based on the rotor circuit equations. When the estimation error of the rotor flux tends to zero, the rotor speed and flux dynamic characteristics of the induction motor with our controller become linear. To minimize the deterioration of control performance, we use an identification algorithm for the rotor resistance. We analyze the dynamic behavior of the closed loop system with our controller. Both simulation and experimental results are included to demonstrate the practical significance of our result. In particular, our experimental results show that recently developed nonlinear feedback control techniques are of practical use in control of induction motors.

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Stator Flux Vector Control of Synchronous Reluctance Motor (동기형 리럭턴스 전동기의 자속 추정형 센서리스 제어)

  • AHN JOONSEON;KIM SOL;LIM JINJAE;GO SUNGCHUL;LEE JU
    • Proceedings of the KIEE Conference
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    • summer
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    • pp.794-796
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    • 2004
  • In the evaluation of performance for the algorithm of sensorless speed control, the ability of speed control in low speed range and starting is important points. First of all, stability of low speed control is highly required in the application which needs high performance in speed control. For this requirement, this paper represents simple method to estimate the rotor position by comparing reference linkage flux with it's estimation. In the estimation of linkage flux, this paper uses voltage-current model for increasing the performance of speed control in low speed range.

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A Hybrid DTC-DSC Drive for High Performance Induction Motor Control

  • Jidin, Auzani;Idris, Nik Rumzi Nik;Yatim, Abdul Halim Mohamed;Sutikno, Tole;Elbuluk, Malik E.
    • Journal of Power Electronics
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    • v.11 no.5
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    • pp.704-712
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    • 2011
  • This paper describes a hybrid induction motor drive system incorporating DTC-hysteresis and Direct Self Control (DSC) schemes to achieve excellent dynamic performance. The control scheme is switched from a circular to a hexagonal flux locus whenever a dynamic condition is encountered. On the other hand, when the motor operates under steady state conditions, a circular flux locus is used. Without major modifications to the simple structure of a basic DTC, hexagonal flux locus operation is established by modifying the flux error status, before it is fed to the look-up table. The feasibility of the proposed hybrid scheme to achieve excellent control performance is verified by experimental results.

A Study on Congestion control using Adaptive neural network algorithm (적응 신경망을 알고리즘을 이용한 혼잡제어에 관한 연구)

  • Cho, Hyun-Seob;Oh, Hun
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1713-1715
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    • 2007
  • Measurement of network traffic have shown that the self-similarity is a ubiquitous phenomenon spanning across diverse network environments. In previous work, we have explored the feasibility of exploiting the long-range correlation structure in a self-similar traffic for the congestion control. We have advanced the framework of the multiple time scale congestion control and showed its effectiveness at enhancing performance for the rate-based feedback control. Our contribution is threefold. First, we define a modular extension of the TCP-a function called with a simple interface-that applies to various flavours of the TCP-e.g., Tahoe, Reno, Vegas and show that it significantly improves performance. Second, we show that a multiple time scale TCP endows the underlying feedback control with proactivity by bridging the uncertainty gap associated with reactive controls which is exacerbated by the high delay-bandwidth product in broadband wide area networks. Third, we investigate the influence of the three traffic control dimensions-tracking ability, connection duration, and fairness-on performance.

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