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논문 기본 정보

자료유형
학술저널
저자정보
Jaekook Ahn (Chungnam National University) Seul Jung (Chungnam National University)
저널정보
한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.14 No.3
발행연도
2014.9
수록면
200 - 208 (9page)

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This paper presents the control of an inverted pendulum system using intelligent algorithms, such as fuzzy logic and neural networks, for advanced control education. The swing up balancing control of the inverted pendulum system was performed using fuzzy logic. Because the switching time from swing to standing motion is important for successful balancing, the fuzzy control method was employed to regulate the energy associated with the angular velocity required for the pendulum to be in an upright position. When the inverted pendulum arrived within a range of angles found experimentally, the control was switched from fuzzy to proportional-integral-derivative control to balance the inverted pendulum. When the pendulum was balancing, a joystick was used to command the desired position for the pendulum to follow. Experimental results demonstrated the performance of the two intelligent control methods.

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Abstract
1. Introduction
2. Fuzzy Control for Swing Up Motion
3. Neural Network Control
4. Experimental Setup
5. Experiment of Swing Up Motion Control by Fuzzy Logic
6. Experiment of Joystick Position Control by Neural Network Control
7. Conclusions
References

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UCI(KEPA) : I410-ECN-0101-2015-004-002822878