Abstract— In this paper, designing of a predictive controller for the elimination of the wind disturbance over the XY pedestal is investigated. XY pedestal is a two-degree-of -freedom ground station antenna which is related to the HDF pedestals (High Dynamic Full Motion Leo Satellite Tracking Pedestals). This system model is achieved by using the Dymola software. According to the comparisons, this model is very close to the actual system model with high accuracy. Purpose: is to trace a LEO orbit satellite, that of passing satellites and angles related to the antenna have been extracted path from KNTUSAT software. For simulating the wind disturbance model the Davenport filter was used. In simulations, the operation of PI controller has been optimized and Model Predictive Controller (MPC) and Generalized Predictive Controller (GPC) has been studied. The results of comparison between simulation methods shows that predictive controller has had less error in satellite tracking and has been shown less controlling effort and also has had good behavior in eliminate wind disturbance. Keyword: Satellite earth Station, XY Pedestal, Predictive Control, MPC, GPC, PI Optimized, Wind Disturbance, Davenport Filter. 1. Introduction Communication between earth station and satellite is done through antennas, and the information between earth stations and satellite is being exchanged through this antennas. For not losing sent information from earth station and/or satellite and the capability of revealing them, it is necessary that satellite always be in antenna radiation. Thus, the control of the position of the earth station antenna is very important. Since if the antenna dos not situate in a suitable position, most of information would be lost. Generally, the control system of the satellite antenna can be divided into two parts; satellite tracking system and antenna position control system. Satellite tracking system specifies the current path and position of antenna by receiving incoming waves from antennas and/or by using previous information and the position control system to put the antenna in a certain position [2]. The first step in controller design is identifying the system which is under the control. In an earth station, this means to identify a Pedestal set, as the system under control. After identification process with determined set points that generated by the tracking, and sent as input to the antenna control unit, would be designed an appropriate control algorithm for tracking satellites. The main characteristic of controller, is keeping tracking error signal in zero level that computed zero level according to set of different parameters of the group [1, 2]. To work with such complex systems, using predictive control algorithms is suitable. It is determined a base path in this type of controllers that it size has been specified before. The purpose is that the controller acts in such a way that prediction output from the process would be close to the base path. The variety of predictive controllers for SISO,MIMO, nonlinear, time variability systems, with different constraints and unstable systems, has made this method different from the current ones [3]. In this paper we have used predictive control algorithms including MPC and GPC in order to control earth station antenna and comparing. For evaluating the performance of these methods we use optimized PI controller. The structured of this paper is as followed: In 2th section, histories of pedestals are explained and in 3th section, we present an approach for simulation of considered pedestal with dual drivers. In 4th section, the structure of expanded predictive controller and its related theories are described. In 5th section of this paper, disturbance model of wind and its related equations are illustrated and in the last, we will present result of simulation and conclusion. A. Ghahramani*, T. Karbasi**, M. Nasirian***, A. Khaki Sedigh**** *Young Researchers Club Yazd Branch, Islamic Azad University, Yazd, Iran, Ghahramani@ieee.org **T. Karbasi is with Electrical Engineering Department, K.N. Toosi University of Technology, Tehran, Iran, t.karbasi@gmail.com ***M. Nasirian, Space Scientific Research Institute, Tehran, Iran, nasir@ee.kntu.ac.ir ****A. Khaki Sedigh is professor with the K.N. Toosi University of Technology, Tehran, Iran, sedigh@kntu.ac.ir Using predictive Control Algorithms to Wind Disturbance Rejection in XY pedestal