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논문 기본 정보

자료유형
학술저널
저자정보
Jung-Chu Ting (National Changhua University of Education) Der-Fa Chen (National Changhua University of Education)
저널정보
전력전자학회 JOURNAL OF POWER ELECTRONICS JOURNAL OF POWER ELECTRONICS Vol.18 No.5
발행연도
2018.9
수록면
1,409 - 1,423 (15page)

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초록· 키워드

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Compared with classical linear controllers, a nonlinear controller can result in better control performance for the nonlinear uncertainties of continuously variable transmission (CVT) systems that are driven by a synchronous reluctance motor (SynRM). Improved control performance can be seen in the nonlinear uncertainties behavior of CVT systems by using the proposed mingled revised recurrent Hermite polynomial neural network (MRRHPNN) control with mend ant colony optimization (ACO). The MRRHPNN control with mend ACO can carry out the overlooker control system, reformed recurrent Hermite polynomial neural network (RRHPNN) control with an adaptive law, and reimbursed control with an appraised law. Additionally, in accordance with the Lyapunov stability theorem, the adaptive law in the RRHPNN and the appraised law of the reimbursed control are established. Furthermore, to help improve convergence and to obtain better learning performance, the mend ACO is utilized for adjusting the two varied learning rates of the two parameters in the RRHPNN. Finally, comparative examples are illustrated by experimental results to confirm that the proposed control system can achieve better control performance.

목차

Abstract
I. INTRODUCTION
II. STRUCTURE OF A SYNRM SERVO-DRIVE CVT SYSTEM
III. MRRHPNN CONTROL WITH MEND ACO
IV. EXPERIMENTAL RESULTS
V. CONCLUSIONS
REFERENCES

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