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Integrated Reconfigurable Control and Guidance based on Evaluation of Degraded Performance

机译:基于评估性能的综合可重构控制和指导

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The present paper is focused on analysing an integrated reconfigurable control and guidance approach for recovering a small fixed-wing UAV from different actuator faults, which cover locked in place (stuck) and loss of effectiveness. The model of the UAV Aerosonde is used to develop a reconfigurable control system based on the control allocation technique for a variety of faults, such as locked-in-place control surfaces. It is shown through simulation that the developed technique is successful to recover the aircraft from various faults but cannot guarantee success on the planned mission. For mission scenarios where performance degradation is such that the prescribed trajectory cannot be achieved, a reconfigurable guidance system is developed, which is capable of adapting parameters such as the minimum turning radius and the look-ahead distance for obstacle avoidance, to allow the vehicle to dynamically generate a path which guides the aircraft around the no-fly zones taking into account the post-fault reduced performance. Path following is performed by means of a non-linear lateral guidance law and a collision avoidance algorithm is implemented as well. Finally, the integration of control reconfiguration and guidance adaptation is carried out to maximise probabilities of post-failure success in the mission. A methodology is developed, using an error based control allocation parameter, as a measure of performance degradation, which links both reconfiguration and guidance systems. The developed method, although approximate, is proven to be an efficient way of allocating the required degree of reconfiguration in guidance commands when an accurate prediction of the actual performance is not available.
机译:本文的重点是分析了一种集成的可重构控制和引导方法,用于从不同的执行器断层中恢复小型固定翼UAV,覆盖锁定到位(卡住)和有效性丧失。 UAV Aerosonde的模型用于基于各种故障的控制分配技术开发可重新配置的控制系统,例如锁定式控制表面。通过模拟显示,开发技术成功地从各种故障中恢复飞机,但不能保证计划的使命取得成功。对于执行性能劣化使得规定的轨迹不能实现的任务场景,开发了一种可重构的引导系统,其能够适应诸如最小转向半径和障碍物避免的前瞻距离,以允许车辆动态生成一条路径,指导飞行器周围的飞行区域,考虑到故障后的性能。路径跟随通过非线性横向引导法执行,并且也实现了碰撞避免算法。最后,执行控制重新配置和指导适应的集成,以最大化任务失败后成功的概率。使用基于误差的控制分配参数来开发方法,作为性能下降的量度,它链接重新配置和引导系统。虽然近似,但是经过近似的,虽然近似,但是当对实际性能的准确预测不可用时,被证明是在指导命令中分配所需的重新配置程度的有效方式。

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