DocumentCode :
1600975
Title :
Optimization for PID Control Parameters on Hydraulic Servo Control System Based on the Novel Compound Evolutionary Algorithm
Author :
Luo, Youxin ; Chen, Zhaoguo
Author_Institution :
Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China
Volume :
1
fYear :
2010
Firstpage :
40
Lastpage :
43
Abstract :
PID control is used widely in hydraulic servo control system. The PID control parameters are very important to performance of hydraulic servo control system and how to find rapidly the optimum values of PID control parameters is very difficult problem. A novel algorithm, called BF-EMPCEOA algorithm, that is combined bacterial foraging algorithm with the elite multi-parent crossover evolutionary optimization algorithm (EMPCEOA) was proposed. Based on Matlab/Simulink software and taking the IATE standards of optimization design as objective function, the proposed method was applied for the optimization of the three parameters of PID controller of electric-hydraulic servo system of 6-DOF parallel platform. Simulation results show that the proposed parameter optimum method is an effective tuning strategy and has good performance.
Keywords :
electric actuators; evolutionary computation; hydraulic actuators; mathematics computing; servomechanisms; three-term control; 6-DOF parallel platform; IATE standards; Matlab; PID control parameter optimization; Simulink software; bacterial foraging-elite multi-parent crossover evolutionary optimization algorithm; electric-hydraulic servo control system; optimization design; tuning strategy; Art; Control systems; Design optimization; Educational institutions; Evolutionary computation; Mechanical engineering; Microorganisms; Servomechanisms; Servosystems; Three-term control; Matlab/Simulink; PID parameters tuning; bacterial foraging algorithm; electric-hydraulic servo system; elite multi-parent crossove;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
Type :
conf
DOI :
10.1109/ICCMS.2010.53
Filename :
5421437
Link To Document :
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