| Title |
Control of the fluidic pinball through genetic programming / |
| Translation of Title |
Nespūdaus disko skysčio sraute valdymo modeliavimas, naudojant genetinio programavimo algoritmą. |
| Authors |
Hammouda, Ahmed Ashraf Badreldin |
| Full Text |
|
| Pages |
61 |
| Keywords [eng] |
genetic programming ; fluidic pinball ; nonlinear control ; flow stabilization ; drag reduction |
| Abstract [eng] |
This thesis explores the use of genetic programming (GP) to develop advanced control strategies for the nonlinear and complex fluidic pinball system, with the goal of reducing drag in the wake flow. The system serves as a benchmark for various industrial applications such as microfluidics, chemical reactors, and automotive systems. Unlike control methods that require complex modeling and linearization, which often introduce inaccuracies, GP directly evolves control laws that adaptively stabilize the flow through pressure and velocity sensor readings. The study details the GP process and compares its performance against conventional control methods. Simulation results show that GP-based control laws outperform optimal linear control laws in terms of drag reduction and energy efficiency, offering a promising direction for nonlinear flow control. |
| Dissertation Institution |
Vilniaus Gedimino technikos universitetas. |
| Type |
Master thesis |
| Language |
English |
| Publication date |
2025 |
