REDUCED-ORDER-MODEL-BASED PLACEMENT OPTIMIZATION OF MULTIPLE CONTROL SURFACES FOR ACTIVE AEROELASTIC CONTROL

The application of multiple control surfaces is a potential method in active aeroelastic control. The placement of a control surface has great impact on the aeroelastic control performance. How to determine the placement of a control surface is a very important task in active controller design. Based on the proper orthogonal decomposition method, an aeroservoelastic reduced order model suitable for placement optimization in transonic flow was developed. Then a two-step aeroelastic optimization method based on the genetic algorithm was proposed to search the optimal placements of control surfaces. The modified Goland+ wing configuration with four aerodynamic control surfaces was applied to demonstrate the proposed placement optimization method. The simulation results show that the optimized configuration improves the aeroelastic control performance obviously and suppresses the limit cycle oscillation successfully with good performance.