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

Volume

3

fYear

2006

fDate

Aug. 30 2006-Sept. 1 2006

Firstpage

328

Lastpage

332

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2616-0

Type

conf

DOI

10.1109/ICICIC.2006.494

Filename

1692181