• Title/Summary/Keyword: RLSE

Search Result 23, Processing Time 0.03 seconds

Passive Telemetry Capacitive Humidity Sensor System using RLSE Algorithm (RLSE알고리즘을 이용한 원격 정전용량형 습도 센서 시스템)

  • Kyung-Yup Kim;Joon-Tark Lee
    • Journal of Advanced Marine Engineering and Technology
    • /
    • v.28 no.4
    • /
    • pp.569-576
    • /
    • 2004
  • In this paper, passive telemetry capacitive humidity sensor system using a RLSE(Recursive Least Square Estimation) technique is proposed. To overcome the problem like power limits and complications that general passive telemetry sensor system including IC chip has, the principle of inductive coupling is applied to model the sensor system. Specially. by applying the forgetting factor we show that the accuracy of its estimation can be improved even in the case of time varying parameter and also the convergence time can be reduced.

Design of Optimized Adaptive PID Control Structures using Model Reduction and RLSE (모델축소와 RLSE을 이용한 최적화 적응형 PID 제어 구조 설계)

  • Cho, Joon-Ho;Choi, Jeoung-Nae;Hwang, Hyung-Soo
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.13 no.7
    • /
    • pp.609-615
    • /
    • 2007
  • We propose an optimized adaptive PID control scheme. This paper is focused on the development of model reduction as well as a new adoptive control structure (viz. a recursive least square estimation (RLSE) method-based structure) that is constructed with smith-predictor structure and a real time estimator. The estimator adjust parameters of a reduced model in real time. It leads to robust and superb control performance for the noise or variation of parameters of process. Experimental study reveals that the proposed control structure exhibits more superb output performance in comparison to some previous methods.

Design of Optimized Adaptive PID Control Structures by means of Model Reduction and RLSE (축소모델과 RLSE를 이용한 최적화 적응형 제어구조 설계)

  • Choi, Jeoung-Nae;Cho, Joon-Ho;Hwang, Hyung-Soo
    • Proceedings of the KIEE Conference
    • /
    • 2005.07d
    • /
    • pp.2525-2527
    • /
    • 2005
  • 큰 지연시간을 갖는 고차계 시스템에 대하여 일반적으로 적용할 수 있는 PID 제어기의 동조방법중 한 가지 방법으로써 축소모델을 이용하는 방법이 있다. 이 방법은 큰 지연시간을 갖는 고차계 공정을 SOPTD(Second Order Plus Time Delay Model)로 축소를 하여 SOPTD의 고정된 형태의 모델에 대하여 PID 제어기를 동조하는 방법이다. SOPTD로 모델을 축소하는 방법과 최적화 PID 파라미터를 동조하는 방법이 제시되었다. 본 논문에서는 기존의 최적화 PID 제어구조에 RLSE를 추가하여 실시간으로 축소모델의 계수를 보정해주는 최적화 적응형 PID 제어구조를 제안하였고, 기존의 제어구조보다 우수한 적응성을 가짐을 시뮬레이션을 통하여 보였다.

  • PDF

Passive Telemetry Capacitive Humidity Sensor System using RLSE Algorithm

  • Lee, Joon-Tark;Park, Young-sik;Kim, Kyung-Yup
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2004.04a
    • /
    • pp.495-498
    • /
    • 2004
  • In this paper, passive telemetry capacitive humidity sensor system using a RLSE(Recursive Least Square Estimation) technique Is proposed. To overcome the problem like power limits and complications that general passive telemetry sensor system including IC chip has, the principle of inductive coupling is applied to model the sensor system. Specially, by applying the forgetting factor, we show that the accuracy of its estimation can be improved even in the case of time varying parameter and also the convergence time can be reduced.

  • PDF

Passive Telemetry Sensor System using RLSE Based Real Time Estimation Technique with Optimal Forgetting Factor

  • Lee, Joon-Tark;Kim, Kyung-Yup
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2004.10a
    • /
    • pp.515-520
    • /
    • 2004
  • In this paper, a passive telemetry RF capacitive humidity sensor system using a RLSE(Recursive Least Square Estimation) technique is proposed. To overcome these trouble problems such as a power limitation and a estimation complexity that the general passive telemetry sensor system including It chip has, the principle of inductive coupling was applied to the modeling of a passive telemetry RF capacitive humidity sensor system and its capacitance was estimatedd by the RLSE algorithm. Specially, by introducing the optimal forgetting factor, we showed that the accuracy of its estimation was improved even in the time varying system and also the convergence time was reduced.

  • PDF

The Fault Location Estimation Algorithm in Transmission Line Using a Recursive Least Square Error Method (순환형 최소자승법을 이용한 송전선로의 고장점 추정 알고리즘)

  • Yoon, C.D.;Lee, J.J.;Jung, H.S.;Shin, M.C.;Choi, S.Y.
    • Proceedings of the KIEE Conference
    • /
    • 2002.07a
    • /
    • pp.203-205
    • /
    • 2002
  • This paper presents the fault location estimation algorithm in transmission line using a recursive least square error method (RLSE). To minimize the computational burden of the digital relay a RLSE approach is used. Computer simulation results of the RLSE algorithm seem promising, indicating that it should be considered for further testing and evaluation.

  • PDF

Temperature Control by On-line CFCM-based Adaptive Neuro-Fuzzy System (온 라인 CFCM 기반 적응 뉴로-퍼지 시스템에 의한 온도제어)

  • 윤기후;곽근창
    • Journal of the Institute of Electronics Engineers of Korea TE
    • /
    • v.39 no.4
    • /
    • pp.414-422
    • /
    • 2002
  • In this paper, we propose a new method of adaptive neuro-fuzzy control using CFCM(Conditional Fuzzy c-means) clustering and fuzzy equalization method to deal with adaptive control problem. First, in the off-line design, CFCM clustering performs structure identification of adaptive neuro-fuzzy control with the homogeneous properties of the given input and output data. The parameter identification are established by hybrid learning using back-propagation algorithm and RLSE(Recursive Least Square Estimate). In the on-line design, the premise and consequent parameters are tuned to RLSE with forgetting factor due to a characteristic of time variant. Finally, we applied the proposed method to the water temperature control system and obtained better results than previous works such as fuzzy control.

Design of a Hybrid Controller to Eliminate the Force Ripple in the Linear Motor (선형 모터에서 힘리플 제거를 위한 Hybrid 제어기의 설계)

  • Kim, Kyong-Chon;Kim, Jung-Jae;Choi, Young-Man;Gweon, Dae-Gab
    • Journal of the Semiconductor & Display Technology
    • /
    • v.7 no.1
    • /
    • pp.17-22
    • /
    • 2008
  • The proposed hybrid controller consists of PID controller, feedforward controller and RLSE (Recursive Least Square Estimating) adaptive controller to compensate the force ripple that is periodic function of position in a linear motor. The modeling of force ripple is divided into the current-dependent and current-independent components. The current independent components never change as the current into the linear motor changes. On the other hand, the current-dependent components change as current varies when the velocity and load of the linear motor change. The proposed controller can compensate both force ripples. The feedforward controller compensates the current-independent components and the RLSE adaptive controller compensates the current-dependents components. We verified the performance of the controller by simulation and experiments.

  • PDF

RLSE Based Batteryless Telemetry Capacitive Sensor System

  • Lee, Joon-Tark;Kim, Kyung-Yup
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2003.09a
    • /
    • pp.318-321
    • /
    • 2003
  • In case, sensor system performs where it is difficult to access physically and it is in the poor environment, it is limited to communicate by using wire and installing power module in sensor system. In this paper, it suggests how information is obtained from telemetry sensor by means of inductive coupling without battery. Comparing with the telemetry sensor system of inductive coupling by the power supply, this system estimates the capacitance of sensor with high precision in using RLSE, not the process of modulation and demodulation. In order to activate this system, inductive model is used and in case of time variant parameter, telemetry sensor system which has got high rate in accuracy is implemented by using the forgetting factor.

  • PDF

Improvment of Control Characteristics of Induction Motor using RLSE Method (RLSE기법에 의한 유도전동기의 제어특성개선)

  • 박영산;조성훈;최승현;이성근;김윤식
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 1999.11a
    • /
    • pp.475-481
    • /
    • 1999
  • This paper presents a recursive least square estimation algorithm to estimate parameters of the vector controlled induction machine based on measurements of the stator voltage, curents and slip frequency. Due to its recursive structure, this algorithm has the potential to be used for on-line estimation and adaptive control. The algorithm is designed using regression model derived from the motor electrical equation. This model is valid when there is a tittle-scale separation between vector control system and adaptive system. Vector control performed at fast stage and slow stage is in charge of parameters estimation. The performance of tile algorithm is illustrated by means of simulation results and experiment.

  • PDF