Development of a Simple and Low-cost Smartphone Gimbal with MPU-6050 Sensor

Rafiq, Arif; Rohman, Wahid Nur; Riyanto, Sugeng

doi:10.18196/jrc.1428

Cited by 16 publications

(9 citation statements)

References 18 publications

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“…Rafiq et al [20] used the same MPU6050 module to detect the tilting angles in the development of the smartphone gimbal. Zhang et al [21] showed the implementation of IMU for outdoor applications where estimation of absolute attitude is compared with a kinematic model of motion, while Albaghdadi and Ali [22] introduced detailed methods to overcome measurement error caused by vibration when using the MPU6050 module.…”

Section: Platform Testing Methodsmentioning

confidence: 99%

Design and kinematic analysis of a two-DOF moving platform as a base for a car simulator

Arthaya¹,

Christian²,

Tamba³

et al. 2022

J. Mechatron. Electr. Power Veh. Technol.

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The study starts by modeling a simple 2-DOF (degrees of freedom) moving platform that employs two actuators to provide two kinds of rotational motion on the moving platform and each motion is driven by an electrical motor. A preliminary study to better understand motion generation is conducted by deriving a mathematical model of the platform. Based on this model, the relationship between the rotations of the two driving motors and the pitch and roll movements of the platform is determined. The range of movements must be limited both in the pitch and roll planes to a certain maximum and minimum values of tilting angles. This preliminary design of the platform is introduced to demonstrate motions that might be experienced by the user in roll and pitch directions. The motion generated has fulfilled the constraint with respect to the vestibular system. Results of experimental works show that the first motor angle between -26° and 27° is suitable for the roll plane; meanwhile, the angles range of -52° and 54° for the second motor is suitable for the pitch plane. Furthermore, some simple experiments were conducted to examine the correctness of the model through the comparison between testing results obtained from simulation and experimental work. In the reported results, the moving platform was set to some initial poses and was driven to the home position and the recording showed acceptable results. This moving platform can later be used for more comprehensive experiments, i.e., vehicle dynamic testing, driving training purposes, and human factor analyses.

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Section: Platform Testing Methodsmentioning

confidence: 99%

Design and kinematic analysis of a two-DOF moving platform as a base for a car simulator

Arthaya¹,

Christian²,

Tamba³

et al. 2022

J. Mechatron. Electr. Power Veh. Technol.

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“…The master device is a wearable device made with the idea of sensors on arm to make the whole system compact and portable. Different types of microcontrollers are available that help to design and develop low-cost robots [27][28][29]. The environment can be visualized on screen.…”

Section: A Master Devicementioning

confidence: 99%

Design and Implementation of Force Sensation and Feedback Systems for Telepresence Robotic Arm

Nisa

Samo

Nizamani

et al. 2022

Journal of Robotics and Control

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Humans put their own lives aside to save other human’s life and perform risky and dangerous activities. The risk can be reduced by using new technologies. This research study focuses on telepresence and teleoperation systems with motion and force control systems that replace humans in hazardous workspaces. In telepresence, the system helps humans to visualize the environment in real-time. In teleoperation, the system provides sensation to assist human beings in performing out-of-reach and dangerous operations safely as in real, providing a shadow hand to the operator. In this study, a system is developed that consists of a slave robotic arm and a master wearable device with bidirectional communication between the robotic arm and operator (master wearable device). It also presents a gesture-controlled robotic arm that uses sensors to read and translate human arm movements as commands. The slave robotic arm, senses applied force on an object and a master wearable device develops the force according to sensed force, in a result operator senses/feels the same object in the control room at distance. The slave robotic arm also mimics the operator arm to reach the proper position of an object. Several experiments were conducted with untrained personnel and satisfactory results were yielded, which showed that the motion and force replication is 90-95% accurate.

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“…Accordingly, the genetic algorithm often provides a reasonable balance between the PID controller coefficient's accurate values and better PID response regarding the rise time and the settling time. GA consists of four main stages (initial generation, cost function, selection techniques, crossover, and mutation [34], [35].…”

Section: Pid Controller Tuningmentioning

confidence: 99%

A self-balancing platform on a mobile car

Tawfeeq

Salloom

Alkamachi

2022

IJECE

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<span lang="EN-US">In the last years, the self-balancing platform has become one of the most common candidates to use in many applications such as flight, biomedical fields, and industry. In this paper, the physical prototype of a proposed self-balancing platform that described the self-balancing attitude in the (X-axis, Y-axis, or biaxial) under the influence of road disturbance has been introduced. In the physical prototype, the inertial measurement unit (IMU) sensor will sense the disturbance in (X-axis, Y-axis, and biaxial). With the determined error, the corresponding electronic circuit, DC servo motors, and the Arduino software, the platform overcame the tilt angle(disturbance). Optimization of the proportional-integral-derivative (PID) controllers’ coefficients by the genetic algorithm method effectively affected the performance of the platform, as the platform system is stable and the platform was able to compensate for the tilt angle in (X-axis, Y-axis, and both axes) and overcome the error in a time that does not exceed four seconds. Therefore, a proposed self-balancing platform’s physical prototype has a high balancing accuracy and meets operational requirements despite the platform’s simple design.</span>

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Development of a Simple and Low-cost Smartphone Gimbal with MPU-6050 Sensor

Cited by 16 publications

References 18 publications

Design and kinematic analysis of a two-DOF moving platform as a base for a car simulator

Design and kinematic analysis of a two-DOF moving platform as a base for a car simulator

Design and Implementation of Force Sensation and Feedback Systems for Telepresence Robotic Arm

A self-balancing platform on a mobile car

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