摘要
通常发生的舰载机着舰事故中,大多数是由于舰载机纵向航迹控制不好导致的,而造成航迹控制性能下降的最主要因素是航母运动、舰尾流扰动和执行器故障.针对这些特殊情况,提出了一种容错控制方法,应用在纵向着舰系统中.首先采用基于非线性动态逆的滑模控制方法抑制舰尾流扰动影响,然后在此基础上,加入径向基神经网络,利用其对非线性项的万能逼近特性,来补偿执行器故障情况下造成的系统故障,进一步保证了舰载机对理想下滑道的精确跟踪,最后,加入不同类型的执行器故障对此方法进行测试.仿真结果表明,所设计的纵向容错着舰系统不仅具有较强的鲁棒性和容错能力,而且提高了舰载机着舰航迹控制精度.
Most of the accidents have occurred during the carrier landing phase, which are caused by poor longitudinal flight path control of aircraft, while the major factors leading to performance degradation are carrier motion, airwake disturbance and actuator faults. Aimed at these special circumstances, a fault-tolerant control methold is proposed to apply in the design of longitudinal carrier landing system. First, the airwake disturbance is inhibited by the sliding mode control method based on nonlinear dynamic inverse. Then the radial basis functions neural network is added and compensated the systematic faults which are caused by the actuator faults through its universal approximation ability of nonlinear term. So the fault tolerant method achieves that the aircraft tracks the desired flight path precisely, and is tested with different types of actuator faults. Finally, the simulation results show that the design of fault-tolerant longitudinal carrier landing system has strong robustness and fault tolerant ability. The system improves the control precision of aircraft landing trajectory.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2017年第10期1311-1320,共10页
Control Theory & Applications
基金
国家自然科学基金项目(61304060)
国家国际科技合作专项项目(2013DFR10030)
中央高校基本科研业务费专项资金项目(HEUCF041307
HEUCFX41304)资助~~
关键词
航迹跟踪
执行器故障
滑模控制
径向基神经网络
trajectory following
actuators fault
sliding mode control
radial basis functions neural network
