Optimization of control parameters for servo hydraulic systems using genetic algorithms (CROSBI ID 208339)
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Šitum, Željko ; Ciković, Zoran
engleski
Optimization of control parameters for servo hydraulic systems using genetic algorithms
The dynamic characteristics of an electro- hydraulic servo-system are complex and highly nonlinear and, these features significantly add uncertainty to the controller design procedure. Therefore, it is a demanding task to obtain a precise mathematical model of controlled hydraulic drives. In this work, the PID controller parameters have been optimized using Genetic Algorithm (GA) for the position control task of a single-rod hydraulic cylinder. To demonstrate the effectiveness of the control algorithm the experiments have been performed and evaluated on the laboratory model for translational motion control.
optimal control; genetic algorithms; electro-hydraulic system; position control
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