Pitching moment trend sensing based on vortex identification from surface pressure information on delta wing
摘要
Delta wing aircraft generates prominent leading-edge vortex systems, which create a low-pressure region on the leeward side of the wing. The size and position of this low-pressure region significantly influence the aircraft’s aerodynamic performance. Using a 65° delta wing configuration, this paper develops a physics-driven approach based on point-vortex theory: employing a sparse pressure sensor array to identify leading-edge vortex structures and evaluate vortex influence in the wing’s leeward flow. Pressure measurements across the leeward surface of a delta wing track the trajectory and strength of the leading-edge vortex in a measured cross-flow plane. And the gradient of the pressure standard deviation curve (which changes with angle of attack) acts as a reliable indicator for identifying vortex breakdown within that section. Crucially, the dimensionless parameter K, derived from a simplified point-vortex model, quantifies interaction strength as a function of peak suction. Significantly, measurements obtained well ahead of the trailing edge correlate well with the leading-edge vortex’s influence. This holds true even under unsteady free-stream conditions or when vortex breakdown occurs leeward, provided it does not reach the instrumented planes. This approach can advance the intelligent and unmanned development of future aircraft and, furthermore, provide support for early warnings related to high angle of attack (AOA) maneuvers in next-generation fighter aircraft.