Flight control for a quadrotor of attitude control based on android system and using optimal-tuning design

Pai, Neng‐Sheng; Li, Weicheng; Chou, Min-Hung; Chen, Pi-Yun

doi:10.1016/j.compeleceng.2016.01.024

Cited by 8 publications

(2 citation statements)

References 7 publications

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“…Quadrotor flight dynamics: Many literature surveys addressed the topic of quadrotor flight dynamics [22]. This nonlinear dynamic model is necessary for flight stability and for accurate control.…”

Section: A Dronesmentioning

confidence: 99%

Autonomous Navigation of Unmanned Aerial Vehicles based on Android Smartphone

Bonny¹,

Abdelsalam²

2019

IJACSA

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In the past few years, the adoption of drone technology across industries has increased dramatically as more businesses started to recognize its potential, uses, and scale of global reach. This paper proposes a design solution of a smart GPS quadcopter aircraft navigation system, discusses its hardware and software implementation process and eventually, analyses and reports the final test results. The flight path of the quadrotor is remotely manipulated via an Android based Graphical User Interface. This outdoor handheld application allows the operator to select a point of interest through Google map satellite view; consequently, the quadrotor takes off then hovers and ultimately lands on the destination location. Instructions in conjunction with coordinates are sent and received throughout a web server which serves the communication operation between the smartphone and the quadrotor. Experimental results yield fruitful data communication and successful autonomous flight control with smooth and stable maneuvering.

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Section: A Dronesmentioning

confidence: 99%

Autonomous Navigation of Unmanned Aerial Vehicles based on Android Smartphone

Bonny¹,

Abdelsalam²

2019

IJACSA

View full text Add to dashboard Cite

show abstract

“…de Moura Oliveira and Cunha a teaching experiment in which PSO was blended with classical control techniques to design PID controllers [43]. Pai et al developed PID and Sliding Mode Control methods for an Android-based quadrotor platform and parameters of optimum controller were built and implemented by using GA and Tabu Search [44]. For the purpose of fast tuning controller parameters, Fister et al systematically investigated the performances of two reactive evolutionary algorithms (differential evolution and GA), and four reactive swarm intelligence-based algorithms (bat, hybrid bat, PSO and cuckoo search) in tuning the PID controller [45].…”

Section: Introductionmentioning

confidence: 99%