• Title/Summary/Keyword: direct fuzzy control

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Development of Intelligent Rain Sensing Algorithm for Vision-based Smart Wiper System (비전 기반 스마트 와이퍼 시스템을 위한 지능형 레인 센싱 알고리즘 개발)

  • Lee, Kyung-Chang;Kim, Man-Ho;Lee, Seok
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.7
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    • pp.649-657
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    • 2004
  • A windshield wiper system plays a key part in assurance of driver's safety at rainfall. However, because quantity of rain and snow vary irregularly according to time and velocity of automotive, a driver changes speed and operation period of a wiper from time to time in order to secure enough visual field in the traditional windshield wiper system. Because a manual operation of wiper distracts driver's sensitivity and causes inadvertent driving, this is becoming direct cause of traffic accident. Therefore, this paper presents the basic architecture of vision-based smart wiper system and the rain sensing algorithm that regulate speed and interval of wiper automatically according to quantity of rain or snow. Also, this paper introduces the fuzzy wiper control algorithm based on human's expertise, and evaluates performance of suggested algorithm in the simulator model. Especially the vision sensor can measure wider area relatively than the optical rain sensor, hence, this grasps rainfall state more exactly in case disturbance occurs.

Compensation of the Rotor Time Constant using Fuzzy Controller in Induction Motor Vector Control (유도전동기 벡터제어에서 퍼지제어기에 의한 시정수 보상)

  • Cha Duck-Gun;Park Jae-Sung;Park Gun-Tae
    • Proceedings of the KIPE Conference
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    • 2002.11a
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    • pp.21-24
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    • 2002
  • The vector control system of an induction motor is the high performance drive system to achieve the instantaneous torque control. The vector control system is greatly divided into the direct control, and the indirect control that the most widely is used, The indirect vector control needs the rotor time constant, which changes widely according to the temperature, frequency, and current amplitude. The incorrect time constant leads to the saturation of magnetic flux or under-excitation phenomena. As a result, that deteriorate the control performance. Therefore, in this paper, the effect of time constant variation is investigated and its on-line tuning algorithm is proposed. The time constant using the torque angles was calculated and that of the validity of algorithm proposed was proved through the computer simulation and the experiment.

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Adaptive Granule Control with the Aid of Rough Set Theory for a HVDC system (러프 셋 이론을 사용한 HVDC 시스템을 위한 적응 Granule 제어)

  • Wang, Zhongxian;Yang, Jeung-Je;Ahn, Tae-Chon
    • Proceedings of the KIEE Conference
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    • 2006.11a
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    • pp.144-147
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    • 2006
  • A proportional intergral (PI) control strategy is commonly used for constant current and extinction angle control in a HVDC (High Voltage Direct Current) system. A PI control strategy is based on a stactic design where the gains of a PI controller are fixed. Since the response of a HVDC plant dynamically changes with variations in the operation point a PI controller performance is far from optimum. The contribution of this paper is the presentation of the design of a rough set based, fuzzy adaptive control scheme. Experimental results that compare the performance of the adaptive control and PI control schemes are also given.

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Communications with a Brain-wave bio-potential based computer interface

  • Choi, Kyoung-Ho;Minoru, Sasaki
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.46.3-46
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    • 2001
  • The overall aim of this research is to develop a computer communication interface based on brain-wave bio potentials for physically disabled people. The work focuses on using EOG and EMG signals to input characters one by one using cursor movements on a GUI screen. The Cyberlink TM system is used to acquire brain waves in real time with electrodes. EMG and EOG signals are used to direct a cursor in order to select, or to click on a character on the screen. We present a novel method for automatic EOG pattern detection by using wavelet transforms with a neuro-fuzzy approach ...

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A Note on the Minimal Variability Weighting Function Problem

  • Hong, Dug-Hun;Kim, Kyung-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.3
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    • pp.991-997
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    • 2006
  • Recently, Liu (2005) proposed a special type of weighting function under a given preference index level with the minimal variability similar to the minimal variability OWA operator weights problem proposed by Fuller and Majlender (2003). He solved this problem using a result of classical optimal control theory. In this note, we give a direct elementary proof of this problem without using any known results.

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Wind turbine simulator using direct torque control of induction motor (유도 전동기의 직접 토크 제어에 의한 풍력 발전 시스템 시뮬레이터)

  • Ahn, Minho;Lee, Kyungkyu;Chio, Jaeho
    • Proceedings of the KIPE Conference
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    • 2014.07a
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    • pp.449-450
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    • 2014
  • 풍력 발전 시스템은 풍력 터빈이 바람에 의해 회전함으로써 발전이 된다. 실험실에서 풍력 발전 시스템을 연구하기 위해서는 바람이 하는 역할을 별도의 모터를 사용하여 회전시켜 주어야 하는데 본 논문에서는 유도전동기의 직접 토크 제어를 이용하여 풍속 데이터를 가지고 상응하는 토크의 지령치로 환산하여 풍력 에너지를 모델링 하였다. 이렇게 발전된 에너지를 최대의 효율로 전달하기 위해서는 MPPT기능이 수행되어야 하며 별도의 센서가 필요없는 Fuzzy MPPT를 수행하였다.

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Direct Adaptive Neural Control of Perturbed Strict-feedback Nonlinear Systems (섭동 순궤환 비선형 계통의 신경망 직접 적응 제어기)

  • Park, Jang-Hyun;Kim, Seong-Hwan;Yoo, Young-Jae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.9
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    • pp.1821-1826
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    • 2009
  • An adaptive neural controller for perturbed strict-feedback nonlinear system is proposed. All the previous adaptive neural (or fuzzy) controllers are based on the backstepping scheme where the universal approximators are employed in every design steps. These schemes involve virtual controls and their time derivatives that make the stability analysis and implementation of the controller very complex. This fact is called 'explosion of complexty ' since the complexity grows exponentially as the system dynamic order increases. The proposed adaptive neural control scheme adopt the backstepping design procedure only for determining ideal control law and employ only one neural network to approximate the finally selected ideal controller, which makes the controller design procedure and stability analysis considerably simple compared to the previously proposed controllers. It is shown that all the time-varing signals containing tracking error are stable in the Lyapunov viewpoint.

Development of a Wheel Slip Control System for Vehicle Cornering Stability (차량 선회 안정성을 위한 휠 슬립 제어시스템 개발)

  • Hong, Dae-Gun;Huh, Kun-Soo;Hwang, In-Yong;SunWoo, Myoung-Ho
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.4
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    • pp.174-180
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    • 2006
  • The wheel slip control systems are able to control the braking force more accurately and can be adapted to different vehicles more easily than conventional braking control systems. In order to achieve the superior braking performance through the wheel slip control, real-time information such as the tire braking force at each wheel is required. In addition, the optimal target slip values need to be determined depending on the braking objectives such as minimum braking distance, stability enhancement, etc. In this paper, a wheel slip control system is developed for maintaining the vehicle stability based on the braking monitor, wheel slip controller and optimal target slip assignment algorithm. The braking monitor estimates the tire braking force, lateral tire force and brake disk-pad friction coefficient utilizing the extended Kalman filter. The wheel slip controller is designed based on the sliding mode control method. The target slip assignment algorithm is proposed to maintain the vehicle stability based on the direct yaw moment controller and fuzzy logic. The performance of the proposed wheel slip control system is verified in simulations and demonstrates the effectiveness of the wheel slip control in various road conditions.

Intelligent Rain Sensing Algorithm for Vision-based Smart Wiper System (비전 기반 스마트 와이퍼 시스템을 위한 지능형 레인 감지 알고리즘 개발)

  • Lee, Kyung-Chang;Kim, Man-Ho;Im, Hong-Jun;Lee, Seok
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.1727-1730
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    • 2003
  • A windshield wiper system plays a key part in assurance of driver's safety at rainfall. However, because quantity of rain and snow vary irregularly according to time and velocity of automotive, a driver changes speed and operation period of a wiper from time to time in order to secure enough visual field in the traditional windshield wiper system. Because a manual operation of windshield wiper distracts driver's sensitivity and causes inadvertent driving, this is becoming direct cause of traffic accident. Therefore, this paper presents the basic architecture of vision-based smart windshield wiper system and the rain sensing algorithm that regulate speed and operation period of windshield wiper automatically according to quantity of rain or snow. Also, this paper introduces the fuzzy wiper control algorithm based on human's expertise, and evaluates performance of suggested algorithm in simulator model. In especial, the vision sensor can measure wide area relatively than the optical rain sensor. hence, this grasp rainfall state more exactly in case disturbance occurs.

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Measurement of DS-CDMA Propagation Distance in Underwater Acoustic Communication Considering Attenuation and Noise

  • Lee, Young-Pil;Moon, Yong Seon;Ko, Nak Yong;Choi, Hyun-Taek;Huang, Linyun;Bae, Youngchul
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.1
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    • pp.20-26
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    • 2015
  • It is very difficult to design an underwater communication system because of multipath, Doppler effects, noise, and attenuation. These factors lead to errors in the communication performance and maximum propagation distance. In this study, we calculate the distance that can be realized using the direct-sequence code division multiple access (DS-CDMA) technique with direct-sequence spread spectrum (DSSS) in an underwater communication system considering only the attenuation and noise. We also compare the estimated and calculated propagation distances obtained for several different scenarios.