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자료유형
학술대회자료
저자정보
저널정보
대한기계학회 대한기계학회 춘추학술대회 대한기계학회 2002년 춘계학술대회논문집
발행연도
2002.5
수록면
846 - 851 (6page)

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이 논문의 연구 히스토리 (2)

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In case of environment requiring safety such as human body and requiring flexible shape. a conventional mechanical. actuator system does not satisfy requirements. Therefore. in order to solve these problems, a research of various smart material such as EAP(Electro Active Polymer), EAC (Electro Active Ceramic) and SMA (Shape Memory Alloy) is in progress. Recently, the highest preferring material among various smart material is EP (Electrostictive Polymer), because it has very fast response time, poerful force and large displacement. The previous researches have been studied properties of polymer and simple control, but present researches arc studied a polymer actuator. An EP (Electostrictive Polymer) actuator has properties which change variably as shape and environmental condition. Therefore, in order to coincide with a user's purpose, it is. important not only to decide a shape of actuator and mechanical design but also to investigate a efficient controller. In this paper, we constructed the control logic with an adaptive fuzzy algorithm which depends on the physical properties of EP that has a dielectric constant depending on time. It caused for a sub-actuator to operate at the same time that a sub-actuator system operation increase with a functional improvement and control efficiency improvement in each actuator. hence it becomes very important to manage it effectively and to control the sub-system which is operated effectively.
There is a limitation on the management of Main-host system which has multiple sub-system. hence it brings out the: Multi-Vehicle Control process that disperse the task efficiently. Controlling the multi-dispersion system efficiently, it needs the research of Main-host system's scheduling, data interchange between sub-actuators, data interchange between Main-host system and sub-actuator system, and data communication process. Therefore in this papers, we compared the fuzzy controller with the adaptive fuzzy controller. also. we applied the scheduling method for efficient multi-control in EP Actuator and the algorithm with interchanging data, protocol design.

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Abstract

1. 서론

2. EP Actuator modeling

3. Adaptive Fuzzy 제어기 설계

4. 분산 제어 시스템 modeling

5. 결과

6. 결론

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UCI(KEPA) : I410-ECN-0101-2009-550-014199919