Abstract
Robotic platforms have been prevalently used as a flight simulator in the commercial airlines and military aviation for pilot training to ensure that the flight crew members familiarize with the standard operating procedures. An ideal flight simulator can provide motions as they occur in the real airplane. However, it is difficult to provide an optimal simulation because of the interaction between the translational and rotational motions. Accordingly, in this study a low-cost Stewart platform is used to simulate different weather conditions via considering multiple variables, such as the frequency and amplitude of external perturbations. Its accuracy of acceleration will be evaluated. Once the result is validated, this affordable robotic platform can be widely applied in different types of simulators to achieve optimal stimulation.
