摘要
传感器是卫星导航系统中的重要部件,其故障的检测和识别对提高系统可靠性具有重要意义。给出了一种基于模糊逻辑的卫星导航系统传感器故障识别方法。首先采用T-S模糊模型描述卫星导航系统,然后应用全解耦奇偶方程的方法进行故障检测,并利用卡尔曼滤波器进行故障参数识别。仿真结果表明,针对导航系统中多个传感器同时发生故障的情况,此方法能有效检测故障,并能准确识别故障参数。
Sensors are important components in a satellite navigation system, so both fault detection and identification for them are of great significance for the reliability improvement of system. In this paper, a sensor fault identification method based on fuzzy logic for the satellite navigation system is presented. First of all, the satellite navigation system is described by the T-S fuzzy model, and then full de-coupled parity equations are applied to detect fauhs, and a Kalman filter is used to identify fault parameters. Simulation results show that, in the case of multiple sensor faults in the navigation system, this method can effectively detect them and accurately identify their parameters.
出处
《空间控制技术与应用》
2009年第2期13-17,50,共6页
Aerospace Control and Application
基金
国家自然科学基金(60572185)
空间智能控制技术国家级重点实验室基金(SIC07030101)
民航总局项目(MHRD07Z16)
民航飞行技术与飞行安全科研基地项目(F2007KF05)资助项目
关键词
卫星导航系统
T-S模糊模型
传感器故障
故障识别
全解耦奇偶方程
satellite navigation system
T - S fuzzy model
sensor fault
fault identification
full decoupled parity equation
