Trajectory Optimization of Aircraft Tactical Engagement Based on Model Prediction Control

机译：基于模型预测控制的飞机战术参与弹道优化

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The maneuvering decision in beyond visual range (BVR) is very important for aircraft with middle-range missiles and advanced avionics. A model with attack region and threat region is proposed to describe the air combat problem. Then a new model prediction control (MPC) scheme to solve the real-time trajectory optimization problem in air combat is introduced and the numerical solution with direct multiple shooting (DMSM) method is proposed. The simulation shows that this scheme is efficient in air combat maneuvering decision.

机译：超越视觉范围（BVR）的机动决策对于带中范围导弹和高级航空电子的飞机非常重要。提出了一种攻击区域和威胁区域的模型来描述空战问题。然后引入了用于解决空战中的实时轨迹优化问题的新模型预测控制（MPC）方案，并提出了具有直接多拍摄（DMSM）方法的数值解决方案。仿真表明，该方案在空战操纵决策中是有效的。

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《International Conference on Robots Intelligent System》|2018年|52-55|共4页
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An Xu; De-Yun Zhou; Ying-Xin Kou; Zhan-Wu Li; You Li;
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Conferences; Robots; Intelligent systems;

机译：会议;机器人;智能系统;

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3. Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-Fidelity Aircraft Model [J] . Olusayo Obajemu, Mahdi Mahfouf, Lohithaksha M.Maiyar, 工程（英文） . 2021,第004期

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4. Trajectory Optimization of Aircraft Tactical Engagement Based on Model Prediction Control [C] . An Xu, De-Yun Zhou, Ying-Xin Kou, International Conference on Robots Intelligent System . 2018

机译：基于模型预测控制的飞机战术接合的轨迹优化
5. Diagnostic throughput factor analysis for en-route airspace and optimal aircraft trajectory generation based on capacity prediction and controller workload. [D] . Shin, Sanghyun. 2013

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Trajectory Optimization of Aircraft Tactical Engagement Based on Model Prediction Control

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