Modelling and Controlling the Orientation of an Arduino Based 3 Axis Camera Gimbal in Matlab Simulink
Sourav Basu1, Himali2, Saikat Banerjee3, Sudhir Kumar Chaturvedi4
1Sourav Basu, M. Tech, Power Electronics Student, Department of Electrical Engineering, Jalpaiguri Govt Engg. College, Jalpaiguri- 735102, West Bengal, India.
2Himali, Student, Aerospace (Avionics) Engineering, Department of Aerospace Engineering, UPES Dehradun-248007, Uttarakhand, India.
3Saikat Banerjee, Director, Department of UAV and Remote Sensing, Wingbotics, Kolkata-700092, West Bengal, India.
4Sudhir Kumar Chaturvedi, Faculty, Department of Aerospace Engineering, UPES, Dehradun-248007, Uttarakhand, India.
Manuscript received on 16 April 2019 | Revised Manuscript received on 22 May 2019 | Manuscript published on 30 May 2019 | PP: 3049-3053 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3487058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The gimbal mechanism was used for mounting compasses during 1500 century and it was described by Italian mathematician and physicist Gerolamo Cardano however it is also said that gimbal mechanism was first described by Greek inventor Philo of Byzantium. Despite all of this fact, the gimbal has huge application in the field of rocket engines, film and video making, marine chronometers, inertial navigation and so on. In the field of photogrammetric feature, identification and image matching are two important tasks. In this context, merits saying that numerous techniques distributed with codes and algorithms to fulfill the ordinary needs of capturing photos and videos. So here design, simulation and controlling of a three axes gimbal for holding and controlling the orientation of the camera in unmanned vehicles have been analysed. The control system has been developed and simulated for the stability of the camera position by MATLAB Simulink. This would be helpful for applications like aerial photography, target tracking, autonomous navigation, and surveillance etc. The camera gimbal process is the substitute of many typical tracking systems like radars which are heavy and huge to be attached with UAVs, that’s why the stability of the gimbal process is very important for to eliminate distortions. The three-axis orientation of the camera is maintained by a motion sensor and three brushless dc motors. A lot of camera gimbal stability techniques have been acknowledged. The challenge is to have the capability to the execution of photos and videos capturing utilizing the target criteria. Recently there has been significant progress in the use of camera gimbal towards the detection of different types of subjects.
Index Terms: Brushless DC Motor, IMU Sensor, Camera Gimbal, Gimbal Stabilization, Kalman Filter, MATLAB Simulink.
Scope of the Article: Network Modelling and Simulation