Attitude stability control of UAV gyroscope based on neutral statistics for smart cities

Chaoyuan Hu ()
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Chaoyuan Hu: Chongqing College of Finance and Economics

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 1, No 28, 290 pages

Abstract: Abstract The usage of Unmanned Aerial Vehicle (UAV) is growing in defense, industry and smart cities as UAVs are airborne systems and are utilized to provide vital information promptly. UAVs are operated by automated machines or human operators. A gyroscope is used for measuring the orientation and angular velocity in UAVs. The UAVs controlled by gyroscope method cannot be adapted well in complex flight environment. The attitude stabilization control problems in gyroscope method can lead to insufficient data generation and limited supply of data to the intended recipients. The gyroscope method should also suffice the flight safety requirements along with controlling the attitude stability. In order to overcome the problems of conventional gyroscope, a novel attitude stability control method based on neutral statistics has been proposed in this paper. The neutral stability technology is used to ensure the neutral stability of UAV gyroscope’s attitude. The identification of fault in UAV gyroscope’s attitude is performed by multivariate statistical method. The switching controller is deployed to ensure the stability of UAV during flight with different flight modes. The steady flight mode and augmented flight mode of UAV gyroscope are controlled by backstepping method and fuzzy control algorithm in the proposed scheme. The experimental results show that the proposed method can effectively detect the attitude faults of UAV gyroscope, and can reasonably control the three attitude modes of UAV gyroscope such as stability, autostability and out of control mode successfully with high precision and high accuracy.

Keywords: UAV; Gyroscope attitude; Fault detection; Neutral stability; Multivariate statistics; Fuzzy PID control; Smart cities (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-021-01391-6

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