This paper proposes a new intelligent control strategy to meet the tracking requirement of the power itself considering the coupling impacts of the plasma cutting technology. The dynamic intense coupling impacts of the technologies can’t be simulated, and a novel style of PID neural network (PID-NN) is applied to obtain closed-loop controller’s reference cutting current via its nonlinear mapping effect. The PID algorithm parameters are self-adjusted through fuzzy logic, whose inputs are both the reference current error and its variation rate. Simulation and testing experiments have verified the greater improvements of this project in steady precision, response speed and robustness, and the controller’s advantage in dealing with discrete events and multivariate decoupling problems.
목차
Abstract 1. Introduction 2. System Components and Process Analysis 3. The Principle and Design of the Intelligent Controller 3.1. PID-NN Technology Control 3.2. Fuzzy Self-tuning PID Controller 4. Simulation and Testing Experiments 4.1. Simulation Parameters and Cutting Experiments 4.2. Simulation and Testing Results 5. Conclusion References
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
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 u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.8 No.5