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Model Identification of the Actuator Based on Image

Wang Xingde, Guo Baiwei, and Chang Jiajia
School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China
Abstract—Actuators are the important parts of an UAV, which control the flight. Obtaining the model of the actuator is a necessary step to design the controller of UAV. These days, the visual measurement technology has been widely applied in the field of industry. In our study, the video capture is applied to acquire the actuators’ movement without changing the system’s origin characteristics. This paper proposes a combination algorithm to identify the actuators’ model which is accomplished on a hardware-in-loop simulation platform. The experimental results show the effectiveness of the algorithm. It also provides a strong theoretical basis for the design of the control system.

Index Terms—video tracking, actuator, identification algorithm, control system

Cite: Wang Xingde, Guo Baiwei, and Chang Jiajia, "Model Identification of the Actuator Based on Image," Jounal of Automation and Control Engineering, Vol. 4, No. 6, pp. 430-434, December, 2016. doi: 10.18178/joace.4.6.430-434
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