Predictive Control of a Two Degrees of Freedom XY robot (Satellite Tracking Pedestal) and comparing GPC and GIPC algorithms for Satellite Tracking

Ghahramani, A.; Karbasi, T.; Nasirian, Mehrzad; Sedigh, Ali Khaki

doi:10.1109/icciautom.2011.6356775

Cited by 6 publications

(7 citation statements)

References 6 publications

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“…The nonlinear and multivariable nature of the X-Y pedestal and the variations of the operating point (caused by the changes in the pedestal center of gravity) result in weak performance of these controllers. Hence, the application of more complex controllers became necessary [12][13][14]. Model predictive controllers [15][16][17] are particularly appropriate for LEO satellite tracking due to the specified orbit of the LEO satellites, which can be realized by solving the satellite motion equations or through satellite motion simulation software.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In [12,13], similar works have been conducted for the control of X-Y pedestals. In [12], two forms of predictive laws, named Generalized Predictive Control (GPC) and Generalized Incremental Predictive Control (GIPC), have been used for pedestal control. Model Predictive Control (MPC) and GPC have been utilized to control the X-Y pedestal in [13] and the results were compared with PI control.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions

Tehrani¹,

Givi

Cican

2021

Applied Sciences

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In this paper, Predictive Functional Control (PFC) is used for X-Y pedestal control for LEO satellite tracking. According to the nonlinear characteristics of the X-Y pedestal and pedestal model variation caused by its operating point change, the use of system identification algorithm, which is based on special types of orthonormal functions known as Laguerre functions, is presented. This algorithm is combined with PFC to obtain a novel adaptive control algorithm entitled Adaptive Predictive Functional Control (APFC). In this combination, Laguerre functions are utilized for system identification, while the PFC is the control law. An interesting feature of the proposed algorithm is its desirable performance against the interference effect of channel X and channel Y. The proposed APFC algorithm is compared with Proportional Integral Derivative (PID) controller using simulation results. The results confirm that the proposed controller improves the performance in terms of the pedestal model variations; that is, the controller is capable of adapting to the model changes desirably.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions

Tehrani¹,

Givi

Cican

2021

Applied Sciences

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“…Several research works have been done in the field of attitude control of MSTA. In [1], two generalized predictive control algorithms are used to control x and y axes of a two-degree-of-freedom robot, which is an earth station antenna related to be the HDF pedestals (High Dynamic Full Motion Leo Satellite Tracking Pedestals). In [2], a Fault Tolerant Control (FTC) system is proposed for the satellite tracking antenna.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Attitude Stabilization System for Marine Satellite Tracking Antenna

et al. 2018

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Marine Satellite Tracking Antenna (MSTA) is an important shipboard device for ships to bidirectionally communicate with the outside. The attitude stabilization system is an important part of MSTA for keeping the antenna dish tracking the geostationary satellite in the presence of severe ship dynamics. In this paper, the designed high-performance attitude stabilization system is introduced, including hardware system, model identification and controller design. The detailed procedure for identifying the stepper motor model is stated, which is different from conventional procedure. The design procedure of the robust controller based on H ∞ loop shaping is given. The designed attitude stabilization system was tested on a Stewart platform that was used as the ship simulator. From the testing results, it can be seen that the performance of designed attitude stabilization system is very high and the tracking angle error can be limited to within ± 0.15 deg, which satisfies the performance requirements of Ka-band MSTA product.

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“…Мобильные СТС получают все более широкое распространение и обеспечивают возможность использования преимуществ СТС в процессе движения транспортных средств, оборудованных специализированными следящими антенными установками, обеспечивающими постоянство связи при значительных внешних воздействиях, что позволяет устанавливать их на большинстве видов общественного и личного транспорта -автомобилях, автобусах, железнодорожном транспорте, кораблях и яхтах (табл. Стабилизированная платформа обеспечивает компенсацию смещений АУ относительно горизонтального положения в процессе движения ТС и под воздействием внешних факторов [5,6].…”

Section: Introductionunclassified

Positioning and tracking control systems for mobile satellite antenna installations

Mnushka¹

2013

EEJET

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Predictive Control of a Two Degrees of Freedom XY robot (Satellite Tracking Pedestal) and comparing GPC and GIPC algorithms for Satellite Tracking

Cited by 6 publications

References 6 publications

Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions

Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions

Design and Implementation of Attitude Stabilization System for Marine Satellite Tracking Antenna

Positioning and tracking control systems for mobile satellite antenna installations

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