作者: Cees Bil , Rudaba Khan , Robin Hill
DOI:
关键词: Redundancy (engineering) 、 Robustness (computer science) 、 Engineering 、 Actuator 、 Survivability 、 Philosophy of design 、 Fault tolerance 、 Control engineering 、 Model predictive control 、 Kalman filter
摘要: The increase in cost and complexity of unmanned aerial vehicles (UAVs) has resulted a shift the design philosophy away from expendable systems towards with high level robustness survivability. Traditionally, survivability is increased through redundancy critical systems, but this increases weight, cost. Some other means need to be found that will allow vehicle navigate specified point land safely after system or actuator failure. This paper presents new approach UAV Fault Tolerant Control via Model Predictive (MPC) technology. MPC used fault tolerant controller for UAV, its performance event failure simulated results are interpreted.