: Control loading system of a flight simulator is one of the applications that haptic devices can be used to simulate flight dynamics models as a virtual environment and apply the calculated forces on pilot’s hand. Control loading system gets the pilot commands and reports them to the flight dynamic model and then applies the desired force that is calculated by the model on pilot’s hand to impose a good sense of the force that is applied in a real case.In this project, the subject of design and manufacturing of a haptic display system with application in control loading system of flight simulators is investigated. First the airplane control system is briefly studied to find out what kind of forces a control loading system should be able to apply. Then different mechanisms that are used for this purpose are studied. investigating their ability and their advantages and deficiencies the electrical mechanism is selected for continuation of the project. Then a1Dof mechanism is simulated to study the effect of design parameters on performance of the control system. According to The simulations' results, we can conclude that increasing the transfer ratio and the inertia, will slow down the system response. Then to meet the desired goals, a 2Dof electrical mechanism is designed as the control loading system. This mechanism works based on controlled resistance of an electrical motor that opposes the rotation of the stick and is designed for the first time. Three methods are implemented to analyze the nonlinear kinematics of mechanism and after verification of the methods, the model developed for the mechanism in simmechanics environment is selected as the reference model for further analysis. However, since the model is slow for kinematics and dynamics analysis to be used real time, in control loop of system, neural network models are used to estimate the response of simmechanics model in kinematics and dynamics analysis. So in the control loop of system, neural network models are used to estimate the response of simmechanics model in kinematics and dynamics analysis. First kinematics and dynamics of mechanism is simulated. A large number of data sets are derived and used to train the networks. A NARMA-L2 neural network controller is trained to close the control loop of the system. This controller is used as a human model in the closed loop system.The simulation results showed an appropriate performance of the system loop. At last the overall mechanism is manufactured. AC servo motors are used to apply the braking force and ball-screw is used to transfer the force. The software interface is developed in labview and the connection between the drivers and computer is established using advantech data acquisition cards. Key Words: Haptic Device, Control Loading, Flight Simulator, Neural Network.