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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 International Journal of Control Automation and Systems International Journal of Control Automation and System Vol.6 No.2
- 발행연도
- 2008.4
- 수록면
- 194 - 203 (10page)
이용수
초록· 키워드
오류제보하기
Iterative learning control (ILC) is a simple and effective method for the control of systems that perform the same task repetitively. ILC algorithm uses the repetitiveness of the task to track the desired trajectory. In this paper, we propose a PID (proportional plus integral and derivative) type ILC update law for control discrete-time single input single-output (SISO) linear time-invariant (LTI) systems, performing repetitive tasks. In this approach, the input of controlled system in current cycle is modified by applying the PID strategy on the error achieved between the system output and the desired trajectory in a last previous iteration. The convergence of the presented scheme is analyzed and its convergence condition is obtained in terms of the PLD coefficients. An optimal design method is proposed to determine the PLD coefficients. It is also shown that under some given conditions, this optimal iterative learning controller can guarantee the monotonic convergence. An illustrative example is given to demonstrate the effectiveness of the proposed technique.
목차
Abstract
1. INTRODUCITON
2. RPOBLEM FORMULATION
3. PROBLEM SOLUTION METHOD
4. MONOTONIC CONVERGENCE ANALYSIS AND OPTIMUM SELCTION OF THE CONTROLLER PARAMETERS
5. SIMULATION RESULTS
6. CONCLUSION
REFERENCES
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