Genetic spatial optimization of active elements on an aeroelastic delta wing

This work outlines a cohesive approach for the design and implementation of a genetically optimized, active aeroelastic delta wing. Emphasis was place d on ( computational efficiency of model development and efficient means fr optimizing sensor and actuator geometries. Reduced-order models of potenti al-flow aerodynamics were developed for facilitation of analysis and design of the aeroelastic system in the early design phase. Using these methods. models capturing " 95% of the physics with 8% of the modeling effort " can be realized to evaluate various active and passive design considerations. T he aeroelastic delta wing model was employed in determining the most effect ive locations and sizes for transducers required to provide flutter control . The basic design presented is based upon an analytical model of the struc ture. A comparison of optimization strategies led to the use of a genetic a lgorithm to determine the optimal transducer locations, sizes, and orientat ions required to provide effective flutter control based upon an open-loop performance metric. The genetic algorithm and performance metric essentiall y provided loop shaping through the adaptive structure design. An experment al model was then developed based upon the optimal transducer designs. Wind tunnel tests were performed to demonstrate closed-loop performance for flu tter control. Results from this study indicate that a single sensor/actuato r pair can be designed to extend the flutter boundary and selectively coupl e to only those modes required to control the response.