摘要
目前的无人机操纵面失效检测技术很多存在着条件限制多、计算复杂不易投入实际应用等问题。通过分析舵机信息与操纵面失效的联系,提出了结合气动模型通过舵机电流信息检测操纵面失效率的方法。半实物仿真结果表明,检测系统能在控制姿态角稳态输入和大幅度变化的输入下,在1 s内迅速给出准确稳定的操纵面失效率检测输出。为重构系统能够有更大几率使飞控系统重新获得对飞机的控制打下基础,增加无人机的战后损伤状况下的生存能力。
There are many problems in current detection methods such as conditional limitations and complexity of calculation which make them not easy to be put into practical application. The relationship between the servo motor information and the failure of the control surface was analyzed, and a method of detecting the failure rate of the control surface by using the servo current information in combination with the aerodynamic model was proposed. The result of its hardware-in-the-loop simulation shows that the detection system can quickly and accurately output the failure rate within 1 second which is a conservative estimate. That makes the reconfiguration system have a greater chance to regain the effective control of UCAV and increase the survivability of UCAVs that are damaged in the fights.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2017年第9期2149-2158,共10页
Journal of System Simulation
