Earticle

초록

영어

For the system that can’t be described by the precise mathematical model and has long time delays, the conventional Smith predictor presents poor stability and large overshoot. Based on the conventional Smith predictor, an improved fuzzy adaptive PID-Smith predictor is proposed. It uses a fuzzy self-tuning PID controller as the primary controller instead of the traditional PID controller. In addition, a feedback loop and an adaptive regulator are imported to ensure the stability and enhance the adaptability of the variable environment. The simulation results show that the new scheme has excellent stability and robustness and can solve the problem of large overshoot in long time delay systems, even when the model mismatch rate comes to 40%.

목차

Abstract
 1. Introduction
 2. Overview of the Smith predictor
 3. Design of the fuzzy adaptive PID-Smith predictor controller
  3.1 Fuzzy self-tuning PID controller
  3.2 Fuzzy adaptive PID-Smith predictor controller
 4. Experimental verification
 5. Conclusion
 ACKNOWLEDGEMENTS
 References

키워드

저자

• Honge REN [ College of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang, 150040, China, Forestry Intelligent Equipment Engineering Research Center, Harbin, Heilongjiang, 150040, China ]
• Xuehai CAO [ College of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang, 150040, China ]
• Jifeng GUO [ College of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang, 150040, China, Forestry Intelligent Equipment Engineering Research Center, Harbin, Heilongjiang, 150040, China ] Corresponding author

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