Robust control of UAVs using H&lt;inf&gt;&amp;#x221E;&lt;/inf&gt; control paradigm

Babar, Muhammad Zeeshan; Ali, Syed Ussama; Shah, M. Zamurad; Samar, Raza; Bhatti, Aamer Iqbal; Afzal, Waseem

doi:10.1109/icet.2013.6743506

Cited by 12 publications

(7 citation statements)

References 9 publications

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“…Common control laws which have received a large interest from researchers are the Backstepping [16][17][18], Gain- scheduling [110][111][112], adaptive control [92,[113][114][115], H ∞ Control [116,117], Fuzzy Logic [118][119][120], Linear Quadratic Regulators (LQR) [8][9][10][11], Proportional Integral Derivative (PID) [5][6][7]98] and Sliding mode controllers (SMC) [7,12,13]. Since these are found to be the popular control techniques for attitude stabilisation and position control, this review will focus on providing the reader with an overview of the controller functionality as well as other researchers' comments on the performance.…”

Section: Control Strategiesmentioning

confidence: 99%

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A Review of Quadrotor Unmanned Aerial Vehicles: Applications, Architectural Design and Control Algorithms

Idrissi

Salami

Annaz

2022

J Intell Robot Syst

175

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Over the past decade, unmanned aerial vehicles (UAVs) have received a significant attention due to their diverse capabilities for non-combatant and military applications. The primary aim of this study is to unveil a clear categorization overview for more than a decade worth of substantial progress in UAVs. The paper will begin with a general overview of the advancements, followed by an up-to-date explanation of the different mechanical structures and technical elements that have been included. The paper will then explore and examine various vertical take-off and landing (VTOL) configurations, followed by expressing the dynamics, applicable simulation tools and control strategies for a Quadrotor. In conclusion to this review, the dynamic system presented will always face limitations such as internal and/or external disturbances. Hence, this can be minimised by the choice of introducing appropriate control techniques or mechanical enhancements.

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Section: Control Strategiesmentioning

confidence: 99%

“…H ∞ has a unique method of viewing the control as a mathematical optimization problem. Finding the correct gain values to stabilize the system is a vital objective for this type of controller [116,117]. A general control configuration is introduced by Doyle [128] where the block diagram shown in Fig.…”

Section: H ∞ Controlmentioning

confidence: 99%

A Review of Quadrotor Unmanned Aerial Vehicles: Applications, Architectural Design and Control Algorithms

Idrissi

Salami

Annaz

2022

J Intell Robot Syst

175

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“…Recently, many researchers have been working in the field of UAV automatic flight control (Oktay, Çelik, & Türkmen, 2018;Turkoglu & Jafarov, 2007;Oktay, Konar, Onay, Aydin, & Abdallah Mohamed, 2016;Oktay & Çoban, 2017;Babar et al, 2013). Adaptive approach is considered in (Ablesimov & Gonchar, 2013;Wang, Patel, Woolsey, Hovakimyan, & Schmale, 2007;Fradkov & Andrievsky, 2005).…”

Section: Introductionmentioning

confidence: 99%

Robust Controller for Supersonic Unmanned Aerial Vehicle

Бурнашев

Zbrutsky

2019

Aviation

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The article is devoted to the synthesis of robust controllers of supersonic unmanned aerial vehicle motion parameters. During the flight, the velocity and altitude of the aircraft varies rapidly within wide limits. Therefore, the required quality of control on each trajectory is provided by a set of dynamic controllers with constant coefficients. The article substantiates the number of such controllers, researches the range of their efficiency. The obtained restrictions on the amplitude-frequency characteristics and weight functions are given. Transients are shown

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“…The authors of [7] have proposed a minimax Linear Quadratic Gaussian design methodology to provide robust control in the presence of uncertainties. The authors of [8] have attempted to design a robust controller for the complex UAV system using loop shaping design procedure (LSDP) to synthesize the controller.…”

Section: Introductionmentioning

confidence: 99%

“…This paper is an attempt to employ UDE in the design of robust controller for an Unmanned Aerial Ve hicle using the lateral dynamic model of Scaled YAK-54 discussed in [8].…”

Section: Introductionmentioning

confidence: 99%

Robust control of UAVs using uncertainty and Disturbance Estimation

Ashok

Kumari

Satish

et al. 2015

2015 International Conference on Industrial Instrumentation and Control (ICIC)

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Unmanned Aerial Ve hicles (UAVs) are employed in surveillance, reconnaissance, and aerial photography. The dynamics of UAVs is highly nonlinear and inherently coupled. It also tends to vary continuously with time and is subjected to severe external disturbances. Due to this, dynamic and paramet ric uncertainties arise in the mathematical model of the UAVs over different operating conditions. In this paper, a controller is synthesised using Uncertainty and Disturbance Estimation (UDE) method. Simulation results prove the robustness of the designed control strategy against uncertainty and disturbance.

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Robust control of UAVs using H<inf>∞</inf> control paradigm

Cited by 12 publications

References 9 publications

A Review of Quadrotor Unmanned Aerial Vehicles: Applications, Architectural Design and Control Algorithms

A Review of Quadrotor Unmanned Aerial Vehicles: Applications, Architectural Design and Control Algorithms

Robust Controller for Supersonic Unmanned Aerial Vehicle

Robust control of UAVs using uncertainty and Disturbance Estimation

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