지원사업
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
- 발행연도
- 2013.1
- 수록면
- 139 - 160 (22page)
이용수
초록· 키워드
오류제보하기
In this paper, an intelligent robust control system (IRCS) for precision tracking control of permanent-magnet synchronous motor (PMSM) servo drives is proposed. The IRCS comprises a recurrent wavelet-based interval type-2 fuzzy-neural-network controller (RWIT2FNNC), an RWIT2FNN estimator (RWIT2FNNE) and a compensated controller. The RWIT2FNNC combines the merits of a self-constructing interval type-2 fuzzy logic system, a recurrent neural network and a wavelet neural network. Moreover, it performs the structure and parameter-learning concurrently. The RWIT2FNNC is used as the main tracking controller to mimic the ideal control law (ICL) while the RWIT2FNNE is developed to approximate an unknown dynamic function including the lumped parameter uncertainty. Furthermore, the compensated controller is designed to achieve L<SUB>2</SUB> tracking performance with a desired attenuation level and to deal with uncertainties including approximation errors, optimal parameter vectors and higher order terms in the Taylor series. Moreover, the adaptive learning algorithms for the compensated controller and the RWIT2FNNE are derived by using the Lyapunov stability theorem to train the parameters of the RWIT2FNNE online. A computer simulation and an experimental system are developed to validate the effectiveness of the proposed IRCS. All of the control algorithms are implemented on a TMS320C31 DSP-based control computer. The simulation and experimental results confirm that the IRCS grants robust performance and precise response regardless of load disturbances and PMSM parameters uncertainties.
목차
Abstract
I. INTRODUCTION
II. MODELING OF THE PMSM AND THE DYNAMIC ANALYSIS
III. INTELLIGENT ROBUST CONTROL SYSTEM(IRCS)
IV. NUMERICAL SIMULATION AND EXPERIMENTAL RESULTS
V. CONCLUSIONS
ACKNOWLEDGMENT
REFERENCES
참고문헌 (53)
참고문헌 신청
1. [단행본] - W. Leonhard / 1996 / Control of Electrical Drives / Springer-Verlag
2. [단행본] - R. Krishnan / 2001 / Electric Motor Drives: Modeling, Analysis, and Control / Prentice-Hall
3. [학술지(정기간행물)] - F. F. M. El-Sousy / 2011 / Robust wavelet-neural-network sliding-mode control system for permanent-magnet synchronous motor drive / IET—Electric Power Application 5 (1) : 113 ~ 132
4. [학술지(정기간행물)] - K. Jezernik / 2009 / High precision motion control of servo drives / IEEE Trans. Ind. Electron 56 (10) : 3810 ~ 3816
5. [학술지(정기간행물)] - J. W. Finch / 2008 / Controlled AC Electrical Drives / IEEE Trans. Ind. Electron 55 (2) : 481 ~ 491
2. [단행본] - R. Krishnan / 2001 / Electric Motor Drives: Modeling, Analysis, and Control / Prentice-Hall
3. [학술지(정기간행물)] - F. F. M. El-Sousy / 2011 / Robust wavelet-neural-network sliding-mode control system for permanent-magnet synchronous motor drive / IET—Electric Power Application 5 (1) : 113 ~ 132
4. [학술지(정기간행물)] - K. Jezernik / 2009 / High precision motion control of servo drives / IEEE Trans. Ind. Electron 56 (10) : 3810 ~ 3816
5. [학술지(정기간행물)] - J. W. Finch / 2008 / Controlled AC Electrical Drives / IEEE Trans. Ind. Electron 55 (2) : 481 ~ 491
이 논문의 저자 정보
이 논문과 함께 이용한 논문
Application of a Nonlinear Controller Based on Recurrent Neural Network for Coordinated of PSS and ASMES
Ali Asgha
,
Shojaei
,
Mohd Fauzi Othman
외 1명
제어로봇시스템학회 국제학술대회 논문집
2015
.10
순환 신경망의 구조와 필기체 인식
윤현구
,
정동석
,
정교민
정보과학회지
2015
.09
Active Noise Control in Three Dimension Space Using Diagonal Recurrent Neural Networks
Riyanto Bambang
,
Kenko Uchida
,
Bayu Wa
외 1명
한국소음진동공학회 국제학술발표논문집
2003
.08
Dynamic System Identification Using a Recurrent Compensatory Fuzzy Neural Network
Chi-Yung Lee
,
Cheng-Jian Lin
,
Cheng-Hung Chen
외 1명
International Journal of Control, Automation, and Systems
2008
.10
Recurrent Neural Network Modeling of Etch Tool Data : a Preliminary for Fault Inference via Bayesian Networks
Jave
,
ia Nawaz
,
Muhammad Zeeshan A
외 5명
한국진공학회 학술발표회초록집
2012
.02
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2014-560-000519388