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논문 기본 정보

자료유형
학술대회자료
저자정보
Kwang-Seok Oh (Hankyong National University) Ja-Ho Seo (University of Ontario Institute of Technology)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2017
발행연도
2017.10
수록면
1,858 - 1,861 (4page)

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초록· 키워드

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This paper describes an adaptive position control algorithm of a DC motor based on the first order approximation using recursive least squares with forgetting. The main concept of the proposed control algorithm is that the relationship between single-input and single-output of the system can be approximated as a first order system in a particular time region. The approximated first order system can be used for optimal control instead of actual complicated DC motor dynamics. In order to approximate the input and output relationship of the system, the method of recursive least squares with forgetting has been used. The disturbance observer has been employed to estimate the error between actual DC motor system and approximated first order system. Based on the approximated first order system that represents the DC motor dynamics, the optimal voltage input has been computed using the Lyapunov direct method. The actual DC motor system equipped with encoder has been used for performance evaluation of the proposed control algorithm. The results show good control performance in terms of error convergence and adaption ability.

목차

Abstract
1. INTRODUCTION
2. ADAPTIVE CONTROL ALGORITHM
3. PERFORMANCE EVALUATION
4. CONCLUSION
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UCI(KEPA) : I410-ECN-0101-2018-003-001428559