Experimental Evaluation of Data Fusion Algorithm for Residual Generationn   in Detecting UAV Servo Actuator Fault

Sahwee Zulhilmy; Rahman Nazaruddin Abd.; Sahari Khairul Salleh Mohamed

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Experimental Evaluation of Data Fusion Algorithm for Residual Generationn in Detecting UAV Servo Actuator Fault

机译：无人机伺服执行器故障检测的残差数据融合算法实验评估

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Unmanned Aerial Vehicles used by military are generally designed with very high reliability and have multiple redundancy of software and hardware equipment because they are intended to operate in hostile environment. But, relatively low cost UAVs used commercially are not equipped with such systems. Usually, micro UAVs weight less than 2kg are equipped with on-board miniature sensor and operate without any hardware redundancy and thus could reduce their reliability. Some of these commercial UAVs

机译：军用无人飞行器通常设计具有很高的可靠性，并具有软硬件设备的多重冗余，因为它们旨在在敌对环境中运行。但是，商业上使用的相对低成本的无人机没有配备这种系统。通常，重量小于2kg的微型无人机配备了机载微型传感器，并且在运行时没有任何硬件冗余，因此会降低其可靠性。其中一些商用无人机

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《International journal of micro air vehicles》 |2015年第2期|133-145|共13页
作者
Sahwee Zulhilmy; Rahman Nazaruddin Abd.; Sahari Khairul Salleh Mohamed;
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Univ Kuala Lumpur, Malaysian Inst Aviat Technol, Dengkil 43800, Selangor, Malaysia.;

Univ Tenaga Nas, Coll Engn, Kajang 43000, Selangor, Malaysia.;

Univ Tenaga Nas, Coll Engn, Kajang 43000, Selangor, Malaysia.;

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Experimental Evaluation of Data Fusion Algorithm for Residual Generationn in Detecting UAV Servo Actuator Fault

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