Project Title: Genetic Algorithms for Lateral Stability Control of Aircraft

Project Description:

Genetic algorithms are powerful, adaptive search algorithms using principals from natural selection. They are of particular use in solving problems where the search space is noisy or ill-defined. Modern aircraft (such as Boeing 747s) demand controllers that are both robust and meet specific performance criteria. Unfortunately these goals often conflict – such as in the case of H-infinity controller design, where performance is often traded for robustness – and innovative ways must be found to achieve the desired performance criteria whilst retaining the robustness. Genetic algorithms can frequently assist the engineer in designing controllers.

Product Details:

Controller to meet performance requirements. Additional evolutionary algorithm software.

Resources Required:

MATLAB, Simulink