TY - GEN
T1 - Parameter tuning of fractional-order PDμ controllers based on bacterial foraging-particle swarm optimization algorithm
AU - Dong, Lei
AU - Shan, Bo
AU - Gao, Zhe
AU - Liao, Xiaozhong
PY - 2013
Y1 - 2013
N2 - An improved bacterial foraging-particle swarm optimization algrithm(BF-PSO) is proposed to tune parameters of fractional-order PDμ controllers for fractional-order systems with time-delays. Firstly, parameters are initialized based on the stable regions determined by the analytical method, overcoming the defect of uncertainty stable region by Ziegler-Nichols method. Moreover, the convergence and divergence operator is used to replace the elimination stage of BF-PSO, enhancing the efficiency and accuracy of search. Finally, the simulation results are analyzed to verify the effectiveness of this improved BF-PSO method.
AB - An improved bacterial foraging-particle swarm optimization algrithm(BF-PSO) is proposed to tune parameters of fractional-order PDμ controllers for fractional-order systems with time-delays. Firstly, parameters are initialized based on the stable regions determined by the analytical method, overcoming the defect of uncertainty stable region by Ziegler-Nichols method. Moreover, the convergence and divergence operator is used to replace the elimination stage of BF-PSO, enhancing the efficiency and accuracy of search. Finally, the simulation results are analyzed to verify the effectiveness of this improved BF-PSO method.
KW - BF-PSO
KW - PDμ controllers
KW - fractional-order systems
KW - stable region
UR - http://www.scopus.com/inward/record.url?scp=84882757082&partnerID=8YFLogxK
U2 - 10.1109/CCDC.2013.6561288
DO - 10.1109/CCDC.2013.6561288
M3 - Conference contribution
AN - SCOPUS:84882757082
SN - 9781467355322
T3 - 2013 25th Chinese Control and Decision Conference, CCDC 2013
SP - 2131
EP - 2135
BT - 2013 25th Chinese Control and Decision Conference, CCDC 2013
T2 - 2013 25th Chinese Control and Decision Conference, CCDC 2013
Y2 - 25 May 2013 through 27 May 2013
ER -