现代防御技术2025，Vol.53Issue(3)：66-73,8.DOI:10.3969/j.issn.1009-086x.2025.03.008
可回收火箭智能最优容错控制
Intelligent Optimal Fault-Tolerant Control for Reusable Launch Vehicle
曾杨智 1李浩然 2陈斌 3邵小东4
作者信息
- 1. 北京控制与电子技术研究所,北京 100038
- 2. 北京航空航天大学国际创新研究院,浙江 杭州 311115
- 3. 北京航空航天大学自动化科学与电气工程学院,北京 100191||北京控制工程研究所,北京 100190
- 4. 北京航空航天大学自动化科学与电气工程学院,北京 100191
- 折叠
摘要
Abstract
The utilization of reusable launch vehicles has emerged as a prominent research focus owing to their significantly lower launch costs.Vertical sub-stage recovery technology is one of the most successful rocket recovery technologies at present,which requires that the recovery section needs to control the attitude of the rocket to keep it perpendicular to the ground.However,in the terminal deceleration phase of recovery,controlling the rocket relies solely on engine gimballing angles to obtain control moments,thus encountering constraints related to moment saturation.Moreover,deviations in thrust estimation contribute to errors in control moments.In this paper,we introduce an intelligent model predictive control algorithm to achieve attitude control during the terminal deceleration phase.Building upon traditional model predictive control,it employs neural networks to approximate the optimal value function,effectively reducing the computational load of model predictive control.Furthermore,in consideration of potential engine faults,along with constraints related to saturation and thrust estimation errors,a fault-tolerant optimal control allocation algorithm based on quadratic programming is devised.Simulation results substantiate the effectiveness of the proposed methodology.关键词
可回收火箭/发动机故障/容错控制/控制分配/模型预测控制/神经网络Key words
reusable launch vehicles/engine faults/fault tolerant control/control allocation/model predictive control/neural network分类
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曾杨智,李浩然,陈斌,邵小东..可回收火箭智能最优容错控制[J].现代防御技术,2025,53(3):66-73,8.
