Title
A PID Parameters Tuning Algorithm Inspired by the Small World Phenomenon
Abstract
Based on the small world phenomenon in social networks, a local search operator and a random long-range search operator with decimal-coding are proposed, then a decimal-coding small world optimization algorithm (DSWA) is explored, which validity and feasibility are testified by the simulation of PID parameters tuning. Compared with the corresponding genetic algorithm (GA) and particle swarm optimization algorithm (PSO), the simulation results indicate that DSWA can avoid trapping to local optimum in a certain extend, and it also can find high quality parameters for PID controller.
Year
DOI
Venue
2008
10.1007/978-3-540-87442-3_100
ICIC (1)
Keywords
Field
DocType
pid parameter,corresponding genetic algorithm,small world phenomenon,pid parameters tuning algorithm,pid controller,simulation result,random long-range search operator,decimal-coding small world optimization,high quality parameter,local search operator,particle swarm optimization algorithm,genetic algorithm,local search,social network
Particle swarm optimization,PID controller,Control theory,Local optimum,Computer science,Algorithm,Optimization algorithm,Operator (computer programming),Local search (optimization),Genetic algorithm
Conference
Volume
ISSN
Citations 
5226
0302-9743
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Xiaohu Li100.34
Haifeng Du242130.96
Jian Zhuang310415.09
Sunan Wang43810.17