| 摘要: |
| 研究了运载火箭动力系统在推力下降情况下的故障诊断问题。根据简化的六自由度非线性模型，利用扩展卡尔曼滤波器生成残差，采用线性二次滚动时域法估计故障，基于估计向量故障特性准确估计推力下降程度，同时提出利用故障突变方向定位故障的方法。仿真结果表明该方法能够快速检测发动机故障并准确定位。 |
| 关键词: 故障诊断 动力系统故障 运载火箭 线性二次滚动时域法 |
| DOI： |
|
| 基金项目: |
|
| Thrust Fault Diagnosis of Launch Vehicle Engine Based on Linear-Quadratic Receding Horizon Algorithm |
| YE Song,CHEN Xi,XIONG Cunping |
| (Beijing Institute of Aerospace Automatic Control, Beijing 100854,China) |
| Abstract: |
| The problem of fault diagnosis under thrust loss is explored for launch vehicle power system.According to the simplified six degrees of freedom nonlinear model, the residual is generated by extended Kalman filter, and the fault is estimated by the linear-quadratic receding horizon algorithm. The thrust loss degree is accurately estimated based on the fault characteristics of the estimated vector.At the same time, a method is proposed for locating faults with the abrupt change of overload in specific direction.The simulation results are given to illustrate the proposed method which can be effectively used to implement fault detection and location for the launch vehicle. |
| Key words: Fault diagnosis Fault of power system Launch vehicle Linear-quadratic receding horizon algorithm |