• Title/Summary/Keyword: VFF

Search Result 27, Processing Time 0.019 seconds

A Fuzzy Logic for Autonomous Navigation of Marine Vehicles Satisfying COLREG Guidelines

  • Lee, Sang-Min;Kwon, Kyung-Yub;Joongseon Joh
    • International Journal of Control, Automation, and Systems
    • /
    • v.2 no.2
    • /
    • pp.171-181
    • /
    • 2004
  • An autonomous navigation algorithm for marine vehicles is proposed in this paper using fuzzy logic under COLREG guidelines. The VFF (Virtual Force Field) method, which is widely used in the field of mobile robotics, is modified for application to the autonomous navigation of marine vehicles. This Modified Virtual Force Field (MVFF) method can be used in either track-keeping or collision avoidance modes. Moreover, the operator can select a track-keeping pattern mode in the proposed algorithm. The collision avoidance algorithm has the ability to handle static and/or moving obstacles. The fuzzy expert rules are designed deliberately under COLREG guidelines. An extensive simulation study is used to verify the proposed method.

Adaptive Control of A One-Link Flexible Robot Manipulator (유연한 로보트 매니퓰레이터의 적응제어)

  • 박정일;박종국
    • Journal of the Korean Institute of Telematics and Electronics B
    • /
    • v.30B no.5
    • /
    • pp.52-61
    • /
    • 1993
  • This paper deals with adaptive control method of a robot manipulator with one-flexible link. ARMA model is used as a prediction and estimation model, and adaptive control scheme consists of parameter estimation part and adaptive controller. Parameter estimation part estimates ARMA model's coefficients by using recursive least-squares(RLS) algorithm and generates the predicted output. Variable forgetting factor (VFF) is introduced to achieve an efficient estimation, and adaptive controller consists of reference model, error dynamics model and minimum prediction error controller. An optimal input is obtained by minimizing input torque, it's successive input change and the error between the predicted output and the reference output.

  • PDF

Autonomous Navigation of an Underwater Robot in the Presence of Multiple Moving Obstacles

  • Kwon, Kyoung-Youb;Joh, Joong-Seon
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • v.5 no.2
    • /
    • pp.124-130
    • /
    • 2005
  • Obstacle avoidance of underwater robots based on a modified virtual force field algorithm is proposed in this paper. The VFF(Virtual Force Field) algorithm, which is widely used in the field of mobile robots, is modified for application to the obstacle avoidance of underwater robots. This Modified Virtual Force Field(MVFF) algorithm using the fuzzy lgoc can be used in moving obstacles avoidance. A fuzzy algorithm is devised to handle various situations which can be faced during autonomous navigation of underwater robots. The proposed obstacle avoidance algorithm has ability to handle multiple moving obstacles. Results of simulation show that the proposed algorithm can be efficiently applied to obstacle avoidance of the underwater robots.

Forward Backward VFF-PASTd Algorithm for the Direct and Reflected Signal Environments (직접파와 coherent 반사파가 있는 시변 DOA추정을 위한 순차적 신호 부공간 추정 기법 연구)

  • Lim Jun-Seok;Pyeon Yongkug;Yoon Sug Joon
    • Proceedings of the Acoustical Society of Korea Conference
    • /
    • spring
    • /
    • pp.237-240
    • /
    • 2002
  • 지면에 가까이 있는 비행체나 수면에 가까이 있는 수중 운동체에서 도래하는 신호는 직접파와 반사파로 구성되어 있다. 그런 환경에서는 반사파가 직접파와 coherent한 관계를 갖는다. 이런 현상으로 해서 DOA추정을 위해 추정한 correlation 행렬이 singular한 성질을 갖게 된다. 이렇게 singular한 행렬은 DOA추정에 큰 오류를 내게 된다. 또 움직이는 대상의 경우 추정 correlation 행렬의 성질이 시간에 따라 변하게 된다. 본 논문에서는 위 두 상황을 함께 해결하기 위해서 PASTd알고리즘을 변형하여 Forward/Backward Variable forgetting factor를 도입한 PASTd알고리즘을 제안한다.

  • PDF

Mobile Robot Navigation For Recovering Local Minimum Using Ultrasonic Sensor (초음파센서를 이용한 이동 로봇의 지역 최소 회복을 위한 주행 알고리즘)

  • Myung, Ki-Ho;Yang, Dong-Hoon;Yoo, Young-Dong;Hong, Suk-Kyo
    • Proceedings of the KIEE Conference
    • /
    • 1999.07g
    • /
    • pp.3086-3088
    • /
    • 1999
  • An ultrasonic sensor is one of most popular sensor used to navigate mobile robots within environments containing obstacles. But many navigation algorithm have studied because of the drawback of ultrasonic sensor such that poor directionality, frequent misreadings, specular reflections. Also, the most crucial drawback of this algorithm, that is VFF, VFM, EDM, PFM, WFM, GFM etc. has been that the mobile robot may become trapped in a local minimum. In this paper, we present a theoretical study of a navigation algorithm which integrals a heuristic-search local minimum (or trap) recovery method with a vector-field based method to maneuver cylindric mobile robots in unknown of unstructured environments. Also, an autonomous mobile robot uses dead-reckoning to estimate the current position and orientation of a mobile robot.

  • PDF

Breeding of Burley Tobacco KB 110 Resistant to PVY and Black Shank and its Agromomic Characteristics (감자바이러스 Y 및 역병 저항성 연초 버어리종 신품종 KB 110의 육성 및 농경적 특성)

  • 정석훈;최상주;조천준;조명조
    • Journal of the Korean Society of Tobacco Science
    • /
    • v.19 no.2
    • /
    • pp.83-91
    • /
    • 1997
  • The vein-necrosis strain or potato virus Y (PVY-Vff) and black shank (Phytophlhora parasitica roar. nicotianae) causes severe damage on burley tobacco(Wicotiana tabacum L.) in Korea, A new burley tobacco resistance to PVY and black shank, KB 110, was developed by Korea Ginseng and Tobacco Research Institute. It was developed from the cross of Burley 21 with TC 591 in 1990, and was backrossed to Burley 21 in the following season. TC 591 has resistance to PVY and moderate resistance to race 0 of black shank, but it is susceptible to tobacco mosaic vim (TMV). KB 110 was evaluated for its resistance to PVY, TMV and black shank in the greenhouse and at fields for preliminary and performance trials. KB 110 which has secreting glandular trichomes was resistant to PVY-VN, TW and black shank. It had an erect growth habit and two more leaves per plant than that of Burley 21, and matures two to three days later. It yielded approximately 3 percent more cured leaf than the standard cultivar Burley 21, but other plant characteristics were very similar to those of Burley 21. It had acceptable standards for chemical and physical characteristics of lured leaf on regional farm test in 1995-1997. KB 110 produced average yields of good quality tobaccos and was appeared to be resistant to PVY inwhere occurrence of the virus are severe chronic at burley growing area.

  • PDF

Low-Complexity VFF-RLS Algorithm Using Normalization Technique (정규화 기법을 이용한 낮은 연산량의 가변 망각 인자 RLS 기법)

  • Lee, Seok-Jin;Lim, Jun-Seok;Sung, Koeng-Mo
    • The Journal of the Acoustical Society of Korea
    • /
    • v.29 no.1
    • /
    • pp.18-23
    • /
    • 2010
  • The RLS (Recursive Least Squares) method is a broadly used adaptive algorithm for signal processing in electronic engineering. The RLS algorithm shows a good performance and a fast adaptation within a stationary environment, but it shows a Poor performance within a non-stationary environment because the method has a fixed forgetting factor. In order to enhance 'tracking' performances, BLS methods with an adaptive forgetting factor had been developed. This method shows a good tracking performance, however, it suffers from heavy computational loads. Therefore, we propose a modified AFF-RLS which has relatively low complexity m this paper.