System Performance of an Inertially Stabilized Gimbal Platform with Friction, Resonance, and Vibration Effects

Abstract

The research work evaluates the quality of the sensor to perform measurements and documents its effects on the performance of the system. It also evaluates if this performance changes due to the environments and other system parameters. These environments and parameters include vibration, system friction, structural resonance, and dynamic system input. The analysis is done by modeling a gimbal camera system that requires angular measurements from inertial sensors and gyros for stabilization. Overall, modeling includes models for four different types of gyros, the gimbal camera system, the drive motor, the motor rate control system, and the angle position control system. Models for friction, structural resonance, and vibration are analyzed, respectively. The system is simulated, for an ideal system, and then includes the more realistic environmental and system parameters. These simulations are run with each of the four types of gyros. The performance analysis depicts that for the ideal system; increasing gyro quality provides better system performance. However, when environmental and system parameters are introduced, this is no longer the case. There are even cases when lower quality sensors provide better performance than higher quality sensors.

Design, modeling, and manufacturing of dual-axis inertially stabilized platform

“…DISP has been used in various engineering applications such as military [1], tracking [2], robotic, remote sensing [3], and navigation systems [4][5][6]. In these applications, the carrier disturbance in the yaw, pitch, and roll directions disturbs the stabilization of the line of sight (LOS) that forces the system to miss the required output [2,3].…”

Design of proportional integral and derivative controller using particle swarm optimization technique for gimbal system

“…Due to shaky and vibration concerns, getting a good image from a camera mounted on a moving object can be difficult, resulting in fuzzy photographs and video captures [2]- [4]. As a result, the camera position adjusts and compensates for camera movement to bypass video shaking caused by disturbance vibration.…”

The Stability of a Two-Axis Gimbal System for the Camera

“…In the model written by K¨urk¸ c¨u et al [ 26 ], another proposal that will attract attention is the combination of the abovementioned model with the PID controller. In the model of Jia et al [ 27 ], I can replace the PID and PI 2 controllers with the adaptive controller or the optimal controller and I investigate their performance. Based on the results obtained after I calculated the parameters of the controller, I simulated them and I identified (SBL) according to the simulated graph, based on the model of the paper of Tan et al [ 28 ].…”