Aiming at the characteristics of the inverter and induction motor system in V/F mode, a full digital control of induction motor frequency control system is designed in this paper. BP neural network is adopted to adjust the parameters of PID controller online, so as to perform closed-loop control of the system. The full digital, distant and intelligent control experimental platform is built based on three communication modes, such as OPC, MPI and PROFIBUS-DP. Practical experiments are debugged based on the system designed. The results show that, the control system has good real-time performance, strong resistance to interference, and higher dynamic and static performances and following performances.
목차
Abstract 1. Introduction 2. Mathematical Model of Induction Motor Speed Control System 3. The Application of Neural Network Control in Speed Control of AC Variable Frequency Induction Motor System 3.1. Algorithm Principle of BP Neural Network PID 3.2. Algorithm Flow 4. Experiments 4.1. Hardware connection of the System 4.2. Experimental Results and Its Analysis 5. Conclusion References
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.7 No.10