Abstract
Gimbal or an inertial stabilization platform (ISP) is used to stabilize the line of sight of an object or device that is tracking another object (LOS) with stationary or moving targets or targets moving forward. It can achieve precision when there is isolation between the tracker and the gimbal base. Studying the 2-axis tilt angle to create gimbal stability, especially in a camera, is a compelling subject for the automation field, as it is controlled by modern controllers. This paper presents a two-axis gimbal loop in which the LOS rate is stable, and I proceed to examine the stability of the system to get a better overview of the system properties. Through examining the stability of the system, I can choose from modern control methods to control them. The stability of the system used from the two analysis methods I present below gives me a visual view from the results achieved. The simulation is performed in MATLAB.
Highlights
As for the development of this model in the paper of Caponetto and Xibilia [6], I can apply the multiaxis gimbal to the system
I can integrate a Time Delay in addition to the adaptive controller or optimal controller, etc. for the models of the system in the paper written by Cui et al [7]
Another proposal for the paper of Ding et al [11] is the adaptive control using neural networks for the abovementioned model. rough Abdo et al.’s model [12], I propose the model using the PI control design method, and I will compare the advantages and disadvantages between PID controller and PI controller. rough Zhan et al.’s model [13], I can conduct a survey for this system with multiaxis gimbals
Summary
As for the development of this model in the paper of Caponetto and Xibilia [6], I can apply the multiaxis gimbal to the system. Rough Abdo et al.’s model [12], I propose the model using the PI control design method, and I will compare the advantages and disadvantages between PID controller and PI controller. To create a new topic for the model in the paper of Abdo et al [15], I propose to use the PI controller. As a new proposal of the paper of Li et al [16], I can conduct surveys for a 3-axis gimbal system. From the results obtained by the simulated graphs, I can use them to design the controller (the inverse formula of the formula in the paper of Tan et al.). I can apply the adaptive fuzzy control method for the nonlinear system in [34] to create something new for the research.
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