DocumentCode
2731065
Title
The controlling parameters tuning and its application of fractional order PID bacterial foraging-based oriented by particle swarm optimization
Author
Luo, Youxin ; Li, Jianying
Author_Institution
Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China
Volume
1
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
4
Lastpage
7
Abstract
PID control is the most common control method used in process contro1. Fractional-order PI¿Dà control is the generalization and development of the integer-order PID contro1. Compared to integer PID controller, fractional PI¿Dà controller has more advantages than integer PID, but the scarcity of tuning methods of the fractional PID is still a problem to be resolved. Based on filter algorithms and adopting the Matlab/Simulink software, a global search optimization method with bacterial foraging oriented by particle swarm optimization was applied for the optimization of the five parameters of fractional controllers, including orders of fractional calculus. Simulation results show that it is an effective tuning strategy. It also can be seen that better control quality can be achieved by using fractional PI¿Dà controller for nonlinear systems.
Keywords
mathematics computing; nonlinear control systems; particle swarm optimisation; three-term control; Matlab/Simulink software; PID control; controlling parameters tuning; filter algorithms; fractional calculus; fractional controllers; fractional order PID bacterial foraging; fractional-order PI¿DÃ\x9f control; global search optimization method; nonlinear systems; particle swarm optimization; Control systems; Filters; Fractional calculus; Microorganisms; Nonlinear control systems; Nonlinear systems; Optimization methods; Particle swarm optimization; Software algorithms; Three-term control; Fractional calculus; Matlab/Simulink; bacterial foraging oriented by particle swarm optimization; fractional PIλDβ controller; parameters tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5357944
Filename
5357944
Link To Document