Earticle

초록

영어

This paper found the deficiency of classical Z-N method in optimization of PID parameters, proposed the intelligent optimization algorithm of PID parameters .The stimulation and experiment showed that the PID parameters getting from this algorithm are efficient, accurate and speedy. This paper used algorithm for hydraulic control system of jumbolter. The stimulation and experiment showed that when peak oil pressure of relief chamber is changed, optimum algorithm will find suitable and based on MAX power requirement to change displacement of relief surface, which lead to changing displacement of impact piston, at the same time, it will change the impact power and frequency of impactor, and realize impactor auto change working parameters based on the different situation under suitable parameters and MAX power working condition. The experiments show that it has a certain reference value for other control objects and control process.

목차

Abstract
 1. Introduction
 2. Intelligence Fusion Optimization Algorithm Setting PID Parameter
  2.1. Intelligence Fusion Optimization Algorithm setting PID Parameter Steps
  2.2. Simulated Analysis
 3. Experimental Example
  3.1. Mathematical Model of Variable Stroke Regulating Mechanism
  3.2. Objective Function
  3.3. Optimization Algorithm Result
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• WANG Xiao-yu [ Electronic Engineering College, Xi’an Aeronautical University, XI’AN 710077 China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605