Sensitivity Analysis of Linear Programming and Quadratic Programming Algorithms for Control Allocation

作者: Susan Frost , Marc Bodson , Diana Acosta

DOI: 10.2514/6.2009-1936

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摘要: The next generation (NextGen) transport aircraft configurations being investigated as part of the NASA Aeronautics Subsonic Fixed Wing Project have more control surfaces, or effectors, than existing configurations. Conventional flight is achieved through two symmetric elevators, antisymmetric ailerons, and a rudder. five reduced to three command variables, produce moments along main axes enable pilot attitude aircraft. Next will additional redundant effectors moments, creating situation where over-actuated simple relationship no longer exists between required surface deflections desired moments. NextGen controllers incorporate allocation algorithms determine optimal effector commands attain taking into account limits. Approaches solving problem using linear programming quadratic been proposed tested. It great interest understand their relative advantages disadvantages how design parameters may affect properties. In this paper, we investigate sensitivity with respect show on some examples solutions provided by methods.

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