Earticle

초록

영어

Control performance is critical to a control system. To improve the performance of the steam generator level control system, the control system parameters need to be optimized. Traditional parameters tuning methods, such as trial and error and Design of Experiments etc., are usually experience-based, cumbersome and time-consuming. To address the above inefficiencies, in this paper, the simplex-search based Model-Free Optimization (MFO) has been proposed to search for the optimal control system parameters. The optimized parameters will be gained to maximize the system’s control performance. Rather than traditional controller parameter tuning method, this method optimizes the control system by directly using measurements of control performance. An example of the PID parameters tuning for the steam generator level control was illustrated. The efficiency and the effectiveness of the Simplex-search based Model-Free Optimization – based control parameters tuning methodology has been verified through simulation experiments.

목차

Abstract
 1. Introduction
 2. Parameters Tuning of the Steam Generator Level Control
 3. Simplex-Search based MFO
  3.1 Model-Free Optimization (MFO)
  3.2 Simplex-Search based MFO
 4. Case Study
  4.1 Steam Generator Model
  4.2 Results and Discussions
 5. Conclusions
 ACKNOWLEDGEMENTS
 References

키워드

저자

• Guan Jiansheng [ School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, Fujian 361024, China ]
• Kong Xiansong [ School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, Fujian 361024, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605