Earticle

초록

영어

This paper presents a method of optimized PID parameter self-adapted ant colony algorithm with aberrance gene, based on ant colony algorithm. This method overcomes genetic algorithm’s defects of repeated iteration, slower solving efficiency, ordinary ant colony algorithm’s defects of slow convergence speed, easy to get stagnate, and low ability of full search. For a given system, the results of simulation experiments which compare to the result of Z-N optimization and evolution of genetic algorithm optimization and evolution of ant colony system optimization, it has more excellent performance in finding best solution and convergence, the PID parameters also have optimality, system possesses dynamic controlling and performance. The experiments show that this method has its practical value on controlling other objection and process.

목차

Abstract
 1. Introduction
 2. Ant Colony System and Ant Algorithms
  2.1 Ant Colony System
  2.2 Ant Algorithm
 3. Optimization Design Based on Gene and Ant Colony Algorithm of Parameters of PID Controller
  3.1 Classical PID Controller
  3.2 Introduction to PID Parameter Optimization Based On Self-Adaptive and Ants Mix Algorithm
 4. Procedure for PID Parameter Optimization Based On Hybrid Classified Adaptive Ants Algorithm
 5. Simulator
 6. Conclusions
 References

키워드

저자

• Wang Xiao-Yu [ College of Engineering/Xi’an International University, Xi’an, China College of Mechanical and Electrical Engineering/ Xi’an University of Architecture and Technology, Xian, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605