Transactions of Nanjing University of Aeronautics & Astronautics
Aircraft Optimal Separation Allocation Based on Global Optimization Algorithm
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Abstract:
A dynamic programming-sequential quadratic programming （DP-SQP） combined algorithm is proposed to address the problem that the traditional continuous control method has high computational complexity and is easy to fall into local optimal solution. To solve the globally optimal control law sequence， we use the dynamic programming algorithm to discretize the separation control decision-making process into a series of sub-stages based on the time characteristics of the separation allocation model， and recursion from the end stage to the initial stage. The sequential quadratic programming algorithm is then used to solve the optimal return function and the optimal control law for each sub-stage. Comparative simulations of the combined algorithm and the traditional algorithm are designed to validate the superiority of the combined algorithm. Aircraft-following and cross-conflict simulation examples are created to demonstrate the combined algorithm’s adaptability to various conflict scenarios. The simulation results demonstrate the separation deploy strategy’s effectiveness， efficiency， and adaptability.
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Project Supported:
This work was supported in part by the National Natural Science Foundation of China （Nos.61773202， 52072174）； the Foundation of National Defense Science and Technology Key Laboratory of Avionics System Integrated Technology of China Institute of Aeronautical Radio Electronics （No.6142505180407）； the Open Fund for Civil Aviation General Aviation Operation Key Laboratory of China Civil Aviation Management Cadre Institute （No.CAMICKFJJ-2019-04）； and the National key R&D plan （No.2021YFB1600500）.
Clc Number:
U8
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