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
- 2019.5
- 수록면
- 771 - 783 (13page)
이용수
초록· 키워드
오류제보하기
Due to nonlinear-synthetic uncertainty including the total unknown nonlinear load torque, the total parameter variation and the fixed load torque, a synchronous reluctance motor (SynRM) driving a continuously variable transmission (CVT) system causes a lot of nonlinear effects. Linear control methods make it hard to achieve good control performance. To increase the control performance and reduce the influence of nonlinear time-synthetic uncertainty, an admixed recurrent Gegenbauer orthogonal polynomials neural network (ARGOPNN) with a modified particle swarm optimization (MPSO) control system is proposed to achieve better control performance. The ARGOPNN with a MPSO control system is composed of an observer controller, a recurrent Gegenbauer orthogonal polynomial neural network (RGOPNN) controller and a remunerated controller. To insure the stability of the control system, the RGOPNN controller with an adaptive law and the remunerated controller with a reckoned law are derived according to the Lyapunov stability theorem. In addition, the two learning rates of the weights in the RGOPNN are regulating by using the MPSO algorithm to enhance convergence. Finally, three types of experimental results with comparative studies are presented to confirm the usefulness of the proposed ARGOPNN with a MPSO control system.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. DEPICTION OF THE SYSTEM
Ⅲ. ARGOPNN WITH A MPSO CONTROL SYSTEM
Ⅳ. EXPERIMENTAL RESULTS
Ⅴ. CONCLUSION
REFERENCES
참고문헌 (26)
참고문헌 신청
W. Chai, W. Zhao, and B. Kwon, “Optimal design of wound field synchronous reluctance machines to improve torque by increasing the saliency ratio,” IEEE Trans. Magn., Vol. 53, No. 11, Art. No. 8206604-4, 2017.
G. Artetxe, J. Paredes, B. Prieto, M. Martinez-Iturralde, and I. Elosegui, “Optimal pole number and winding designs for low speed?high torque synchronous reluctance machines,” Energies, Vol. 11, No.1, 128, Jan. 2018.
T. Matsuo, A. E. Antably, and T. A. Lipo, “A new control strategy for optimum-efficiency operation of a synchronous reluctance motor,” IEEE Trans. Ind. Appl., Vol. 33, No. 5, pp. 1146-1153, Sep./Oct. 1997.
E. M. Rashad, T. S. Radwan, and M. A. Rahman, “A maximum torque per ampere vector control strategy for synchronous reluctance motors considering saturation and iron losses,” IEEE Ind. Appl. Conf., pp. 2411-2417, 2004.
L. Guzzella and A. M. Schmid, “Feedback linearization of spark-ignitionengines with continuously variable transmissions,” IEEE Trans. Contr. Syst. Technol., Vol. 3, No. 1, pp. 54-58, Feb. 1995.
G. Artetxe, J. Paredes, B. Prieto, M. Martinez-Iturralde, and I. Elosegui, “Optimal pole number and winding designs for low speed?high torque synchronous reluctance machines,” Energies, Vol. 11, No.1, 128, Jan. 2018.
T. Matsuo, A. E. Antably, and T. A. Lipo, “A new control strategy for optimum-efficiency operation of a synchronous reluctance motor,” IEEE Trans. Ind. Appl., Vol. 33, No. 5, pp. 1146-1153, Sep./Oct. 1997.
E. M. Rashad, T. S. Radwan, and M. A. Rahman, “A maximum torque per ampere vector control strategy for synchronous reluctance motors considering saturation and iron losses,” IEEE Ind. Appl. Conf., pp. 2411-2417, 2004.
L. Guzzella and A. M. Schmid, “Feedback linearization of spark-ignitionengines with continuously variable transmissions,” IEEE Trans. Contr. Syst. Technol., Vol. 3, No. 1, pp. 54-58, Feb. 1995.
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UCI(KEPA) : I410-ECN-0101-2019-560-000683669