Optimal Motion Cueing Algorithm Development of 6dof Flight Simulator Considering Workspace of Motion Platform

Skilled pilot training in aviation industry is of great importance. This in real terms due to high costs and safety considerations، is facing with serious obstacles. Thus providing low cost، efficient and repeatable flight training conditions attracted a broad range of researches. Flight simulators are such devices for training the skilled pilots. These tools aim to provide the same feeling of real flying for pilots، and give the opportunity to pilot to react under terms of the flight conditions. Motion cueing design algorithm is of the salient challenges in the design of these devices. The algorithm receives the linear acceleration and angular velocity of the real flight as the inputs and is due to calculate the appropriate movements of the actuators such that the infinite plane motions to get constricted to finite motions in the limited work space of the flight simulator. This has to be done in a way that the pilot in flight simulator feels as could as the same sense of motion of the pilot in aircraft. The authors aim to develop an optimal motion cueing algorithm for 6 DoF flight simulator with fuzzy compensated system specially focusing on the maximum use of workspace of the simulator to obtain more appropriate sense of motion. Comparing the results of the proposed fuzzy compensated and the conventional optimal motion cueing algorithms، shows an evident improvements in terms of smaller movements of actuators while achieving more appropriate motions of the flight simulator.