Earticle

초록

영어

This article will mainly introduce the effective access to get the value of PID parameter, and the method of tuning PID parameters is studied from two aspects. To ensure the PID parameter value of the whole set is optimal, the controlled object must be given and the value of intelligent optimization algorithm also must be optimal. Then to compare and test the parameters, we can use the method of simulation and experiment. Research deep traditional Z-N method and PID structure control model, and preliminary parameter values of PID can be acquired by it. After that, an intelligent fusion optimization algorithm based on intelligent computation and simulation analysis is constructed, finally, we can use this method to tuning PID parameters’ value effectively.

목차

Abstract
 1. Introduction
 2. Standard Particle Swarm Optimization Algorithm
 3. Improved Particle Swarm Optimization Algorithm
  3.1. Algorithm Principle
  3.2. Algorithm Steps
  3.3. Function Test
 4. Improved Particle Swarm Algorithm for PID Parameter Tuning
  4.1. Tuning Method of PID Controller Parameters
  4.2. Method of PID Parameter Tuning Based on PSO Algorithm
  4.3. Simulation Experiments and Results Analysis
  4.4. Application of Improved Temperature Control Algorithm in Beer Fermentation Process
 5. Conclusion
 References

키워드

저자

• Gai-lian Zhang [ Xi'an International University, Shaanxi Province College of Engineering ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605