Antenna Tracker Design With A Discrete Lyapunov Stability Based Controller For Mini Unmanned Aerial Vehicles

İşcan, M. Ya̧sar; Tas, Ali Ihsan; Vural, Berkem; Ozden, Ali Burak; Yilmaz, Cüneyt

doi:10.36287/ijmsit.6.1.77

Cited by 4 publications

(4 citation statements)

References 1 publication

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“…This theorem proves instrumental in achieving a stable control approach by scrutinizing the interplay between the applied torque and the resultant tracking angles. The approach aligns closely with the propositions in the work by Iscan et al (2022), underlining a systematic and well-founded approach for architecting the position controller within the antenna tracker system.…”

Section: General System Designsupporting

confidence: 53%

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Adaptive elliptic trajectory-based received signal strength indicator antenna tracking algorithm

Tas,

Iscan,

Gurkan

et al. 2023

Transactions of the Institute of Measurement and Control

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The continuous telemetry transmission between unmanned aerial vehicles (UAVs) and ground control stations is important particularly in scenarios lacking global positioning system (GPS) data. This paper proposes an adaptive novel elliptic trajectory formula-based tracking algorithm for received signal strength indicator (ANETF-RSSI) which dynamically optimizes model parameters based on energy-associated RSSI measurement errors. ANETF-RSSI generates a variable two-dimensional (2D) RSSI map to identify optimal paths, even under challenging conditions like circular flight paths, varying operating ranges, and accelerated maneuvering, which causes uncertainty into RSSI measurements during flight. In contrast to previous methods, the proposed approach eliminates the reliance on telemetry data such as GPS or complex multiantenna configurations, ensuring robust UAV communication continuity across routes ranging from 100 m to 100 km, even as the UAV rotates around the antenna. This method offers substantial contributions, including enhanced monitoring precision, simplified hardware configurations, continuous tracking with superior accuracy, and adaptability to diverse range routes without the need for preflight parameter tuning. Performance evaluations demonstrate that the proposed ANETF-RSSI method consistently outperforms existing technique, improving nominal performance by 32.02% in the most challenging operational scenarios and achieving a remarkable 48.76% improvement in minimum RSSI values. Consequently, this research provides a versatile and adaptive tracking solution for unexpected UAV flight trajectories.

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Section: General System Designsupporting

confidence: 53%

“…The antenna performs elliptic scanning around the azimuth and elevation positions called direction angle (DA) as an up to MIT within a certain angular range. To create an elliptical scanning route, the azimuth and elevation axes must be referenced to the angles shown in equations ( 1) and ( 2) (Iscan et al, 2022)…”

Section: Anetf-rssi Tracking Algorithmmentioning

confidence: 99%

Adaptive elliptic trajectory-based received signal strength indicator antenna tracking algorithm

Tas,

Iscan,

Gurkan

et al. 2023

Transactions of the Institute of Measurement and Control

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“…At the heart of AT systems, the control of the actuators and the design of the steering structure are just as important as the tracking algorithm itself. The design of the steering structure and its position controller, by Iscan et al (2022), are based on their work. The steering mechanism must be capable of scanning the entire space with two axes.…”

Section: General System Designmentioning

confidence: 99%

A novel elliptic trajectory formula for active RSSI-based antenna tracking algorithm

İşcan

Tas

Gurkan

et al. 2023

Transactions of the Institute of Measurement and Control

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In this study, a novel received signal strength indicator (RSSI)-based tracking algorithm for antenna tracker systems utilizing directional antennas is proposed. This system has two sequential phases, which are the “Full Area Scan Phase” and the “Active RSSI-Based Tracking Phase” with a unique elliptic trajectory formula for generating an original two-dimensional (2D) RSSI map to detect the maximum signal. An elliptic trajectory paves the way for splitting RSSI measurements into specific regions equally on this map in which any disturbance and noises are eliminated. The proposed method do not require any telemetry data or multiple receivers for antennas. The simulation results showed that the algorithm attained to 98 % accuracy with respect to the Global Positioning System (GPS)-based ones. In real-world experiments, it captures the first handshake signal within 6 seconds even when the unmanned aerial vehicle (UAV) positions are uncertain. Furthermore, it is demonstrated that this novel technique can provide a continuous tracking at high resolution with the error value of [Formula: see text] and [Formula: see text] in the elevation and azimuth axes, respectively, compared with the GPS-based one. In conclusion, the simulation and test studies indicated that the proposed method could achieve a higher precision tracking with its advantages against the former methods.

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“…The continuous model, Equation (54), is discretized using Euler forward difference equation. In this study, discrete feedback linearization controller design is performed in order to track the reference LVV given within the range of physiological conditions using Lyapunov stability theorem similar by İşcan et al [37].…”

Section: A New Volume-elastance Equationmentioning

confidence: 99%

A New Cardiovascular Mock Loop Driven by Novel Active Capacitance in Normal and Abnormal Conditions

Iscan,

Yesildirek

2023

Applied Bionics and Biomechanics

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The hybrid mock circulatory loop (hMCL) serves as a crucial hemodynamic simulation tool, offering exceptional flexibility, controllability, and reproducibility for investigating the mechanisms underlying cardiovascular diseases (CVD) in a controlled environment, circumventing the limitations of live organism studies. This paper introduces a novel design and control strategy for hMCL, introducing a novel left ventricle volume–elastance (LVVE) equation that unifies the autoregulation of the Frank–Starling mechanism (FSM) with left ventricle contractility (LVC). LVVE establishes a dynamic link between left ventricular volume (LVV) and LVC, inherently satisfying the regulatory relationship between left ventricular pressure (LVP) and LVV through a mathematical equation. For the first time, LVVE integration significantly enhances the physiological relevance of hMCL by faithfully replicating FSM responses across diverse conditions, including aortic stenosis (AS), variations in systemic vascular resistance (SVR), and heart rate (HR) variations. Furthermore, this study introduces the stability proofs for the discrete closed-loop hMCL, enabling real-time proportional valve control through discrete feedback linearization—an innovative departure from conventional methods. Notably, FSM emulation is achieved by tracking reference maximum and minimum LVV values, eliminating the reliance on predefined functions or existing data, such as the maximum LV elastance value. Rigorous experimental validation, encompassing numerical simulations and comparative analyses with prior research, attests to the precision and efficacy of the proposed hMCL in faithfully replicating both normal and abnormal CV conditions. Significantly, the hMCL demonstrates that increasing HR enhances LVC while maintaining physiological pressures; however, this increase in LVC corresponds with a decrease in LVV, in alignment with human data and FSM principles. Crucially, the coupling mechanism between the FSM and LVC yields results of enhanced physiological fidelity, significantly advancing the hMCL’s utility in physiological research. Moreover, the hMCL’s capacity to simulate critical cardiovascular scenarios, including AS, SVR fluctuations, and HR variations, underscores its versatility and substantial potential for investigating complex CV dynamics.

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Antenna Tracker Design With A Discrete Lyapunov Stability Based Controller For Mini Unmanned Aerial Vehicles

Cited by 4 publications

References 1 publication

Adaptive elliptic trajectory-based received signal strength indicator antenna tracking algorithm

Adaptive elliptic trajectory-based received signal strength indicator antenna tracking algorithm

A novel elliptic trajectory formula for active RSSI-based antenna tracking algorithm

A New Cardiovascular Mock Loop Driven by Novel Active Capacitance in Normal and Abnormal Conditions

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