DocumentCode :
1825723
Title :
On-line identification based optimal control method
Author :
Kang, Rongjie ; Jiao, Zongxia ; Chen, Lisha ; Wang, Shaoping
Author_Institution :
Sci. & Technol. on Aircraft Control Lab., Beihang Univ., Beijing, China
fYear :
2011
fDate :
17-20 Aug. 2011
Firstpage :
50
Lastpage :
55
Abstract :
This paper presents an On-line Identification based Optimal Control (OIOC) method that composed of two layers: the control layer is used to realize the close-loop control while the optimization layer is used to search the optimal control parameters. This control strategy can ensure the robustness of a servo system. The nonlinear PID controller, Elman network based identifier and Particle Swarm Optimization (PSO) algorithm are designed and applied to OIOC. The simulation results with respect to a typical electro-hydraulic servo system are presented.
Keywords :
closed loop systems; electrohydraulic control equipment; nonlinear control systems; optimal control; particle swarm optimisation; robust control; servomechanisms; three-term control; Elman network based identifier; close-loop control; control layer; electro-hydraulic servo system; nonlinear PID controller; online identification based optimal control method; optimization layer; particle swarm optimization algorithm; servo system robustness; Mathematical model; Optimization; Process control; Servomotors; Shape; Stability analysis; Elman network; nonlinear control; particle swarm optimization; system identification; tracking-differentiator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fluid Power and Mechatronics (FPM), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8451-5
Type :
conf
DOI :
10.1109/FPM.2011.6045728
Filename :
6045728
Link To Document :
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