Simple GUI Wireless Controller of Quadcopter

Hanafi, Dirman; Qetkeaw, Mongkhun; Ghazali, Rozaimi; Than, Mohd Nor Mohd; Utomo, Wahyu Mulyo; Omar, Rosli

doi:10.4236/ijcns.2013.61006

Cited by 19 publications

(19 citation statements)

References 14 publications

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“…Data acquisition during field tests have been done using telemetry and the Mission Planner open source software [33]. In this case, telemetry was used as a wireless data transmission between the ground station and the quadcopter [34], while Mission Planner was used to reading the data [35][36][37]. The data retrieval result can be seen in Figure 8.…”

Section: Resultsmentioning

confidence: 99%

Flight Stability Analysis of a Symmetrically-Structured Quadcopter Based on Thrust Data Logger Information

et al. 2018

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Quadcopter flight stability is achieved when all of the rotors-propellers generate equal thrust in hover and throttle mode. It requires a control system algorithm for rotor speed adjustment, which is related with the translational vector and rotational angle. Even with an identical propeller and speed, the thrusts generated are not necessarily equal on all rotors-propellers. Therefore, this study focuses on developing a data logger to measure thrust and to assist in flight control on a symmetrically-structured quadcopter. It is developed with a four load cells sensor with two-axis characterizations and is able to perform real-time signal processing. The process includes speed adjustment for each rotor, trim calibration, and a proportional integral derivative (PID) control tuning system. In the data retrieval process, a quadcopter was attached with data logger system in a parallel axis position. Various speeds between 1200 rpm to 4080 rpm in throttle mode were analyzed to determine the stability of the resulting thrust. Adjustment result showed that the thrust differences between the rotors were less than 0.5 N. The data logger showed the consistency of the thrust value and was proved by repeated experiments with 118 s of sampling time for the same quadcopter control condition. Finally, the quadcopter flight stability as the result of tuning process by the thrust data logger was validated by the flight controller data.

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Section: Resultsmentioning

confidence: 99%

Flight Stability Analysis of a Symmetrically-Structured Quadcopter Based on Thrust Data Logger Information

et al. 2018

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“…The main problem in Quadcopter is the balancing and stability system [8,9]. Most of the Quadcopters will be unbalanced and lost stability in case there are disturbance direct such as wind [10,11].…”

Section: Problem Statements and Objectivesmentioning

confidence: 99%

“…The diameter of the propellers represents the pitch that reads the number of rotations at a time. Finally, the total weight of the quadcopter was lastly specified by 840 g that results in glorious fly tactics [8,9].…”

Section: 2quadcopter Motorsmentioning

confidence: 99%

Design and Implementation of GPS Based Quadcopter Control System

Aziz¹,

Algburi²,

Alani³

et al. 2020

Proceedings of the Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart

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The signal coverage area is considered a controversial point that is solved and discussed wisely in this paper. The designers usually concentrate only on satisfying the controllability of the quadcopter module without discussing the coverage range between the transmitter and the receiver. This paper shows a smart design method of a low-cost quadcopter device controlled by a GPS. Moreover, the modern control system was designed to control the plane by creating an integration between the control unit and the PID system, which allowed the system to reach stability very fast and the peak overshoot was eliminated. The control system of the quadcopter calibrates the Pitch, Roll, Twist, which located on x,y,z axes respectively depending on the altitude sensor. Under the GPS act, the entire frame will be allocated in the covered area which was specified by 500 meters. This specification keeps the quadcopter in the required range and the tipping down accidents will be unexpected. Finally, this work was completed based on the Arduino IDE C++ compiler and Matlab program that emphasizes the theoretical results.

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“…In 2012, a low-cost hover control mechanism was developed and implemented on a low-cost microcontroller for a quadcopter [12]. Hanafi et al [13] presented the development of remotely controlled quadcopter system through a Graphical User Interface (GUI) where the communication between GUI and quadcopter is constructed by using wireless communication system. In this paper, remote presence was implemented to control a quadcopter (AR Drone 2.0) [14] by the Emotiv EPOC [15] device.…”

Section: Introductionmentioning

confidence: 99%

Implementing Remote Presence Using Quadcopter Control by a Non-Invasive BCI Device

Lin¹,

Jiang²

2015

csit

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Extracting neural signals to control a quadcopter using wireless manner is proposed in this paper for hands-free, silence and effortless human-mobile interaction with remote presence. The brain activity is recorded in real-time and discovered patterns to relate it to facial-expression states with a cheap off-the-shelf electroencephalogram (EEG) headset-Emotic Epoc device. A tablet based mobile framework with Android system is developed to convert these discovered patterns into commands to drive the quadcopter-AR Drone 2.0 through wireless interface. First, neural signals are sequentially extracted from headset and transmitted to the tablet mobile system. In the tablet mobile system, large number of feature vector of EEG can be reduced by using Principle Component Analysis (PCA) to recognize the facial expression to generate suitable commands and driving the quadcopter through wireless interface. Finally, the quadcopter can fly smoothly in accordance with the commands converted by the EEG signals. The experimental results show that the proposed system can easily control quadcopters.

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Simple GUI Wireless Controller of Quadcopter

Cited by 19 publications

References 14 publications

Flight Stability Analysis of a Symmetrically-Structured Quadcopter Based on Thrust Data Logger Information

Flight Stability Analysis of a Symmetrically-Structured Quadcopter Based on Thrust Data Logger Information

Design and Implementation of GPS Based Quadcopter Control System

Implementing Remote Presence Using Quadcopter Control by a Non-Invasive BCI Device

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