Camera gimbal stabilization using conventional PID controller and evolutionary algorithms

Rajesh, R J; Kavitha, P.

doi:10.1109/ic4.2015.7375580

Cited by 37 publications

(22 citation statements)

References 1 publication

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“…The aim of this experiment or project is to create a new control system to stabilize the 3-axis gimbal camera position in MATLAB Simulink. To obtain this control technique, the advanced control theory for 3-axis movements is required with a microcontroller which is an Arduino UNO for this experiment, and to design a motor driving control logic for 3 axis movement [8]. And the filtering of unwanted signals will be executed in the Arduino.…”

Section: Hardware Attachmentsmentioning

confidence: 99%

RETRACTED: Gimbal orientation study and assessment for the autonomous underwater vehicles

Chaturvedi¹,

Basu²,

Banerjee³

2020

Journal of Ocean Engineering and Science

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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.

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Section: Hardware Attachmentsmentioning

confidence: 99%

RETRACTED: Gimbal orientation study and assessment for the autonomous underwater vehicles

Chaturvedi¹,

Basu²,

Banerjee³

2020

Journal of Ocean Engineering and Science

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“…If the position of the camera is not compensated or stabilized during the image acquisition process or autonomous target tracking, problems such as blurred images and focal loss can generated. (Rajesh and Kavitha, 2016). In this work a 3-axis gimbal is mounted above or under the body of the aircraft and it has an individual controller to each motor to move the gimbal's angles yaw-roll-pitch from Z-X-Y axis, respectively.…”

Section: Gimbal Mechanismmentioning

confidence: 99%

Object Tracking Control Using a Gimbal Mechanism

Regner

Salazar

Buschinelli

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This work describes a control solution for real time object tracking in images acquired for a RPAS on an object inspection environment. This, controlling a 3-axis gimbal mechanism to control a camera orientation embedded to a RPAS, using its image processed for feedback. The objective of control is to maintain the target of interest at the center of the image plane. The proposed solution uses a YOLOv3 object detection model in order to detect the target object and determine, thru rotation matrices, the new desired angles to converge the object’s position to the center of the image. To compare results of the proposed control, a linear control was tuned using a linear PI algorithm. Simulation and practice experiments successfully tracked the desired object in real time using YOLOv3 in both control approaches presented.

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“…[4] Kamera gimbal pada pesawat tanpa awak (unamed aerial vehicle) digunakan untuk berbagai macam aplikasi di bidang fotografi udara yaitu, pelacakan target, pemetaan, navigasi dan lainnya. [5] Gimbal akan mempertahankan posisi kamera dengan cara membaca sudut kamera, kemudian dengan mekanik yang ada akan mengatur sudut kamera kembali ke posisi yang diinginkan sehingga nampak seperti tidak terpengaruh oleh gangguan dari luar. [6] Saat ini gimbal dilengkapi oleh beberapa fitur komunikasi untuk mempermudah proses pengambilan gambar atau video yang akan dihasilkan.…”

Section: Pendahuluanunclassified

Emisi Radiasi Stabilizer Gimbal Genggam Pada Frekuensi 30 MHz – 1 GHz Dan 1 – 6 GHz

Wirapraja¹

2020

Jur. Tek. Pros. & Inov. Ind.

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Camera gimbal stabilization using conventional PID controller and evolutionary algorithms

Cited by 37 publications

References 1 publication

RETRACTED: Gimbal orientation study and assessment for the autonomous underwater vehicles

RETRACTED: Gimbal orientation study and assessment for the autonomous underwater vehicles

Object Tracking Control Using a Gimbal Mechanism

Emisi Radiasi Stabilizer Gimbal Genggam Pada Frekuensi 30 MHz – 1 GHz Dan 1 – 6 GHz

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