Title :
Optimize Control of the Metro Bogie Test Platform Add-Load System Based on GA
Author :
Wei, Fu ; Jinwen, Zhang
Author_Institution :
Dept. of Electron. Sci., Huaihai Inst. of Sci. & Technol., Jiangsu
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
A kind of new genetic algorithm (GA) is presented, that calculates a way to satisfy the control demand of the metro bogie comprehensive test terrace electro-hydraulic servo system. We adopt the GA to carry out the evolution operation for the unit. Adopting the phase margin is the function of penalty that we use to calculate the adaptive degree. We consider the index sign of time domain and robustness of the system to unify at the same time. A good result is thoroughly certificated. Applied in the actual engineering by the electro-hydraulic servo system PID control parameter that is based on the new SAGA acquires excellent results
Keywords :
electrohydraulic control equipment; genetic algorithms; locomotives; optimal control; servomechanisms; three-term control; PID control parameter; add-load system; average Euclid distance; electro-hydraulic servo system; evolution operation; genetic algorithm; metro bogie test platform; optimized control; penalty function; phase margin; Axles; Control systems; Damping; Robustness; Rubber; Servomechanisms; Shape; Springs; Surges; System testing;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.494
