PSO를 이용한 지능형 로봇의 원격 주행 제어
Remote Navigation Control for Intelligent Robot Using PSO
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
In this paper, we propose remote navigation control for intelligent robot using particle swarm optimization(PSO). The proposed system consists of interfaces for intelligent robot navigation and user interface in order to control the intelligent robot remotely. And communication interfaces using TCP/IP socket is used. To do this, we first design the fuzzy navigation controller based on expert's knowledge for intelligent robot navigation. At this time, we use the PSO algorithm in order to identify the membership functions of fuzzy control rules. And then, we propose the remote system in order to navigate the robot remotely. Finally, we show the effectiveness and feasibility of the developed controller and remote system through some experiments.
Abstract
In this paper, we propose remote navigation control for intelligent robot using particle swarm optimization(PSO). The proposed system consists of interfaces for intelligent robot navigation and user interface in order to control the intelligent robot remotely. And communication interfaces using TCP/IP socket is used. To do this, we first design the fuzzy navigation controller based on expert's knowledge for intelligent robot navigation. At this time, we use the PSO algorithm in order to identify the membership functions of fuzzy control rules. And then, we propose the remote system in order to navigate the robot remotely. Finally, we show the effectiveness and feasibility of the developed controller and remote system through some experiments.
참고문헌 (11)
- W.S.Thayer, "A remote control system for surveyor", SPIE Proc. Mobile Robots, 727, pp.17~24 (1988)
- A. S. Sekmen, "Human-robot interaction over the internet", Proc of the IEEE on southeastcon, pp.224~228 (2000)
- R. L. Alves, "Teleoperation of a mobile robot through the internet", Proc. of the 43rd IEEE Midwest Symposium on Circuits and Systems, 통권 : 1, pp.930~933 (2000)
- S.Sha, "Fuzzy Self-Organizaing Controller And Its Application for DynamicProcesses", Fuzzy Sets and Systems, 26, pp.151~164 (1988)
- M. Sugeno, "A Fuzzy-Logic-Based Approach to Qualitative modeling", IEEE Trans. On Fuzzy System, 1, pp.7~31 (1993)
- Y. H. Joo, "Linguistic Model Identification for Fuzzy System", Electronics Letters, 31, pp.330~331 (1995)
- Y. H. Joo, "Fuzzy System Modeling and Its Application to Mobile Robot Control In Fuzzy Logic and Its Applications, Information Sciences, and Intelligent Systems", pp.147~156 (1995), Kluwer Academic Publishers
- Y. Shi, "Fuzzy Adaptive Particle Swarm Optimization", Proceedings of the 2001 conference on Evolutionary Computation, 통권 : 1, pp.101~106 (2001)
- J. Kennedy, "Particle Swarm Optimization", IEEE International conference on Neural Networks, 통권 : 4, pp.1942~1948 (1995)
- A.A.A Esmin, "Particle Swarm Optimization For Fuzzy Membership Functions Optimization", IEEE international Conference on Systems, Mans and Cybernetics, 통권 : 3, pp.6~13 (2002)
- B. Allaoua, "The efficiency of Particle Swarm optimization Applied on Fuzzy Logic DC Motor Speed Control", Serbian Journal of Electrical Engineering, 5(2), pp.247~262 (2008)
