A hierarchical PID control strategy based on generalized predictive control (GPC) algorithm is presented to solve the model uncertainty of the superheated steam temperature (SST) and the application problem of advanced control algorithms in distributed control system (DCS) of the ultra-supercritical (USC) units. The upper level is based on generalized predictive control algorithm, which also has the functions of model identification and PID parameters tuning. The conventional cascade PID control strategy is applied in the bottom level. Simulations carried out with the field operation data from Chaozhou USC units. The simulation results show that the hierarchical predictive PID control system is qualified with strong stability and robustness, which can adapt to the model change process of the SST control.
목차
Abstract 1. Introduction 2. Hierachical Structure of SST Control System 2.1. Design of Hierarchical Structure 2.2. Soft Switching of the Upper level 3. Control Strategy of Upper Level 3.1. GPC Algorithm 3.2. Model Parameters Identification 3.3. Model of PID Parameters Tuning 4. Simulation and Analysis 4.1. Establishment of the Multi-model Set of SST 4.2. Parameters Setting 4.3. Simulation Results 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.8 No.10