The next generation of aircraft with a large number of effectors will require advanced methods for control allocation (CA) to compute the effectors' commands needed to follow the desired objective while respecting associated constraints. Currently, the main challenge of the CA is to achieve low enough computation time with a deterministically optimal result for a real-time application. In this paper, at first, we cast the CA as a nonlinear convex programming problem which depicts the desired objective function subject to three-axis moment demands and the limits of effectors' movement; then we develop a computationally tractable method for real-time application on the CA of the aircraft flight control system. The method can analytically and deterministically give one optimal solution for the CA and prove this optimal solution to be guaranteed within a certainly maximal computation time. Numerical testing results based on Boeing C-17 transport aircraft and Lockheed-Martin tailless fighter models demonstrate that the method is effective in terms of its computational efficiency, accuracy, and reliability.

中文翻译：

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飞机飞行控制系统控制分配的新方法


具有大量效应器的下一代飞机将需要先进的控制分配（CA）方法来计算遵循期望目标所需的效应器命令，同时尊重相关约束。目前，CA 的主要挑战是实现足够短的计算时间，并为实时应用程序提供确定性的最佳结果。在本文中，我们首先将CA视为一个非线性凸规划问题，它描述了受三轴力矩需求和效应器运动限制的期望目标函数；然后我们开发了一种计算上易于处理的方法，用于在飞机飞行控制系统的 CA 上实时应用。该方法能够分析性地、确定性地给出CA的一个最优解，并证明该最优解在一定的最大计算时间内得到保证。基于波音C-17运输机和洛克希德马丁无尾战斗机模型的数值测试结果表明，该方法在计算效率、准确性和可靠性方面是有效的。