• Title/Summary/Keyword: error control

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Adaptive controller with fast convergence

  • Lyou, Joon
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10b
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    • pp.746-748
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    • 1988
  • A way of improving the transient performance is suggested for a class of model reference adaptive control systems. To increase the convergence rate of a model following error, an error feedback term is incorporated into the control law.

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Digital Control of a Single-Phase UPS Inverter for Robust AC-Voltage Tracking

  • Woo Young-Tae;Kim Young-Chol
    • International Journal of Control, Automation, and Systems
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    • v.3 no.4
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    • pp.620-630
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    • 2005
  • This paper presents a digital controller for a single phase UPS inverter under two main considerations: (i) the overall system shall keep very low AC-voltage tracking error as well as no phase delay over different load conditions, and (ii) the digital controller shall be employed at a fixed sampling time. We propose that the former can be achieved by the proposed controller using the error-state approach and the latter can be dealt with by the socalled characteristics ration assignment.

A fuzzy-logic controller for a differential-drive mobile robot (이동로봇을 위한 퍼지로직 제어기)

  • 박영민;김대영;한상완;홍석교
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.532-535
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    • 1997
  • This paper describes the design of a fuzzy-logic controller for a differential-drive mobile robots. This controller uses absolute position information to modify control parameters to compensate the orientation error. CC-Control method is compensated for the internal error by wheel encoders and the fuzzy-logic control provides compensation for external errors. The validities of the proposed scheme is evaluated using simulation.

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Development of fuzzy control algorithm for servo systems (Servo system에 대한 fuzzy control algorithm의 연구)

  • 이수흠;정원용;이현우;박창대
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.563-566
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    • 1991
  • This paper discusses the possibility of applying fuzzy logic controller in a microprocessor - based servomotor controller, such as servomotor position controller, which requires faster and more accurate response compared with other industrial processes. According to the fuzzy control rule made by tie analysis of error and error change, one Look-up table that contains various quantized step is made and appropriate initial error change is selected to the good responses.

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Repetitive Control of Track Following Error in a Hard Disk Drive (하드 디스크 드라이브의 반복 추종 오차 제어)

  • Jeon, Doyoung;Jong, Ilyong
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.5
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    • pp.131-138
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    • 1996
  • This paper suggests a servo control algorithm to reduce the repeatable tracking error which is not explicitly taken into account in the design of a conventional PID controller of a computer hard disk drive. The robust stability of the repetitive control system with multiplicative modelling error is analyzed, and the controller was implemented using a fixed point DSP(Digital Signal Processor). Experimental results show that the repetitive errors are suppressed effectively by the proposed controller.

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The Cascade PID Type Fuzzy Control Method

  • Lee, Jung-Hoon;Ki whan Eom;Lee, Yong-Gu
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.93.3-93
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    • 2001
  • We propose the cascade PID type fuzzy control method for a good performance such as robustness. The one of proposed method, the first stage have two input variables of an error and a derivative error, and one output variable, and the next stage have two input variables of the output of first stage and an integral error, and one output variable, have two stages. The other, the first stage has one input of an error, and one output variable, and the second stage have two input of the output of first stage and a derivative error, and one output variable, and the third stage have two input of the output of the second stage and an integer error, and one output variable ...

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Error Estimation and Adaptive Time Stepping Procedure for Structural Dynamics (구조동역학에서의 오차 추정과 시간간격 제어 알고리즘)

  • 장인식
    • Transactions of the Korean Society of Automotive Engineers
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    • v.4 no.4
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    • pp.190-200
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    • 1996
  • Step-by-step time integration methods are widely used for solving structural dynamics problem. One difficult yet critical choice an analyst must make is to decide an appropriate time step size. The choice of time step size has a significant effect on solution accuracy and computational expense. The objective of this research is to derive error estimate for newly developed time integration method and develop automatic time step size control algorithm for structural dynamics. A formula for computing error tolerance is derived based on desired period resolution. An automatic time step size control strategy is proposed based on a normalized local error estimate for the generalized-α method. Numerical examples demonstrate the developed strategy satisfies general design criteria for time step size control algorithm for dynamic problem.

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Analysis of Estimation Errors in Rotor Position for a Sensorless Control System Using a PMSM

  • Park, Yong-Soon;Sul, Seung-Ki;Ji, Jun-Keun;Park, Young-Jae
    • Journal of Power Electronics
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    • v.12 no.5
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    • pp.748-757
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    • 2012
  • In a sensorless control system with a Permanent Magnet Synchronous Motor (PMSM), the angular position of the rotor flux can be estimated by a voltage equation. However, the estimated angle may be inaccurate due to various causes. In this paper, it was comprehensively analyzed how various causes affect the angle error. As a result of the analysis, an error equation intuitively describing these relationships was derived. The parameter errors of a PMSM and the non-ideal properties of the driving system were identified as error-causing factors. To demonstrate the validity of the error equation, PMSMs were tested at various operating points. The variations in angle errors could be well explained with the error equation.

Enhancements of T-REFWA to Mitigate Link Error-Related Degradations in Hybrid Wired/Wireless Networks

  • Nishiyama, Hiraki;Taleb, Tarik;Nemoto, Yoshiaki;Jamalipour, Abbas;Kato, Nei
    • Journal of Communications and Networks
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    • v.8 no.4
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    • pp.391-400
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    • 2006
  • With the on-going wireless access technologies, the Internet has become accessible anytime anywhere. In wireless networks, link errors significantly degrade the performance of the transmission control protocol (TCP). To cope with this issue, this paper improves the recently-proposed terrestrial REFWA (T-REFWA) scheme by adding a new error recovery mechanism to its original design. In the T-REFWA scheme, senders are acknowledged with appropriate sending rates at which an efficient and fair utilization of network resources can be achieved. As the feedback values are computed independently of link errors, senders can keep transmitting data at high rates even in case of link error occurrences. Using this feature, the proposed error recovery mechanism can achieve high throughput in environments with high bit error rates. The throughput is further improved by disabling the exponential back-off algorithm of TCP so that long idle times are avoided in case of link errors. We show through simulations that the proposed method improves TCP performance in high bit error rates. Compared with several TCP variants, the proposed error recovery scheme exhibits higher link utilization and guarantees system fairness for different bit error rates.

Deep Learning Based Error Control in Electric Vehicle Charging Systems Using Power Line Communication (전력선 통신을 이용한 전기자동차 충전 시스템에서 딥 러닝 기반 오류제어)

  • Sun, Young Ghyu;Hwang, Yu Min;Sim, Issac;Kim, Jin Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.4
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    • pp.150-158
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    • 2018
  • In this paper, we introduce an electric vehicle charging system using power line communication and propose a method to correct the error by applying a deep learning algorithm when an error occurs in the control signal of an electric vehicle charging system using power line communication. The error detection and correction of the control signal can be solved through the conventional error correcting code schemes, but the error is detected and corrected more efficiently by using the deep learning based error correcting code scheme. Therefore, we introduce deep learning based error correction code scheme and apply this scheme to electric vehicle charging system using power line communication. we proceed simulation and confirm performance with bit error rate. we judge whether the deep learning based error correction code scheme is more effective than the conventional schemes.