Overview on the development and applications of antenna control systems

Mulla, A. A.; Vasambekar, P. N.

doi:10.1016/j.arcontrol.2016.04.012

Cited by 12 publications

(6 citation statements)

References 17 publications

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“…Results indicate that the algorithm was able to overcome significant torque disturbances from wind pressures and gusts on the antenna structures, as well as bearing and aerodynamic frictions. Reference [ 39 ] presented an overview on the development and application of antenna control systems, while [ 40 ] presented performance analysis of PID and LQG control algorithms for antenna position control system.…”

Section: Uav Tracking System Overviewmentioning

confidence: 99%

The Recent Advancement in Unmanned Aerial Vehicle Tracking Antenna: A Review

Kelechi¹,

Alsharif

Oluwole³

et al. 2021

Sensors

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Unmanned aerial vehicle (UAV) antenna tracking system is an electromechanical component designed to track and steer the signal beams from the ground control station (GCS) to the airborne platform for optimum signal alignment. In a tracking system, an antenna continuously tracks a moving target and records their position. A UAV tracking antenna system is susceptible to signal loss if omnidirectional antenna is deployed as the preferred design. Therefore, to achieve longer UAV distance communication, there is a need for directional high gain antenna. From design principle, directional antennas are known to focus their signal energy in a particular direction viewed from their radiation pattern which is concentrated in a particular azimuth direction. Unfortunately, a directional antenna is limited by angle, thus, it must always be directed to the target. The other limitation of a UAV mechanical beam steering system is that the system is expensive to maintain and with low reliability. To solve this problem, we are proposing the use of MIMO technology as a readily available technology for UAV beyond line of sight technology. Although UAV antenna tracking is domiciled in the mechanical beam steering arrangement, this study shows that this native technology could be usurped by MIMO beam forming.

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Section: Uav Tracking System Overviewmentioning

confidence: 99%

The Recent Advancement in Unmanned Aerial Vehicle Tracking Antenna: A Review

Kelechi¹,

Alsharif

Oluwole³

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The inputs of  are the sensor element positions and the incoming wave arrival directions specified by their azimuth and elevation angles. By default, the elevation angles are zero [1], [3], [16], [17].…”

Section: Simulation Parameters and Set-upmentioning

confidence: 99%

Multiple Direction Interference Suppression by Uniform Linear Phased Array Sidelobe Efficient Canceller

Romanuke

2021

ITS

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Background. For radar systems, the beam pattern of a uniform linear array (ULA) is synthesized to ensure signal selectivity by direction. A specific ULA sidelobe is cancelled by rescaling the beam weights. In particular, this is done by increasing the number of sensors and shortening the scanning step. However, a noticeable limitation is a loss of the transmitted power. Therefore, the problem is to optimally balance the number of sensors versus effective ULA sidelobe cancellation. Objective. In order to ensure multiple direction interference suppression, the goal is to find an optimal number of ULA radar sensors for the beam pattern synthesis. The criterion is to determine such a minimum of these sensors at which mainlobes towards useful signal directions are evened as much as possible. Methods. To achieve the said goal, the ULA sidelobe cancellation is simulated. The simulation is configured and carried out by using MATLAB® R2020b Phased Array System ToolboxTM functions based on an algorithm of the sidelobe cancellation. Results. By increasing the number of ULA sensors, the beam pattern lobes are not only thinned but also change in their power. In particular, the interference direction sidelobes become relatively stronger. The number of sensors is limited by the three influencing factors: the thinned-array curse transmitted power loss, the aperture size, and the sidelobes intensification. Conclusions. An optimal number of ULA radar sensors for the beam pattern synthesis can be found when the scanning step is equal to the least distance between adjacent interference directions. At the start, the number of sensors is set at the number of useful signal directions. If the mainlobes towards useful signal directions are not evened enough, the set of interference directions is corrected. Keywords: radar phased array; beam pattern; interference direction; sidelobe cancellation; aperture size.

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“…The mobile antenna is one of the main components of a mobile sat-com system, and its performance in pointing to and tracking a target satellite directly determines the quality of the communication link. To pursue higher communication rates and more stable communication links, the requirements in the pointing accuracy of mobile antennas are becoming stricter, especially when antennas' carriers are travelling in some extreme environments [4][5][6]. This poses a severe challenge to the control design for mobile antenna servo systems where the traditional proportional-integral-derivative (PID) controllers are widely used [7].…”

Section: Introductionmentioning

confidence: 99%

Bi‐objective control design for vehicle‐mounted mobile antenna servo systems

Wen

2021

IET Control Theory & Appl

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This paper studies a high-performance control design for the servo system of a vehiclemounted mobile satellite communication antenna. Considering the different requirements for tracking and disturbance attenuation in the servo system, a novel controller structure consisting of a central controller and a disturbance filter is proposed. Based on this controller structure, a bi-objective control design scheme is proposed: One is an optimal tracking design for the central controller, and the other is a disturbance attenuation design for the disturbance filter. It turns out that the resulting control system achieves an optimal tracking performance when the external disturbance is at a low level; meanwhile, the system achieves a robust disturbance attenuation performance when the disturbance is significant. Moreover, considering the trade-offs between performance and the robust stability of the closed-loop system, the weighting parameter selection in control design criteria is studied for a practical application. Furthermore, validation experiments and field tests are carried out to evaluate the effectiveness of this design, and their results show that the welldesigned bi-objective controller significantly improves the dynamic pointing accuracy of the antenna in tracking a geostationary satellite when its carrier is driving off-road.

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Overview on the development and applications of antenna control systems

Cited by 12 publications

References 17 publications

The Recent Advancement in Unmanned Aerial Vehicle Tracking Antenna: A Review

The Recent Advancement in Unmanned Aerial Vehicle Tracking Antenna: A Review

Multiple Direction Interference Suppression by Uniform Linear Phased Array Sidelobe Efficient Canceller

Bi‐objective control design for vehicle‐mounted mobile antenna servo systems

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