Abstract
This paper presents a detailed analysis about the implementation of a washout filter on the SIVOR (Simulador de Voo Robotico – Robotic Flight Simulator) project. The main objective of this project is to develop, on an anthropomorphic robot, a flight simulator which can be used as an Engineering Development System (EDS) and a pilot training platform, capable of providing feelings the pilot would only have in more intensive maneuvers, such as losses/gains of G in aircraft flight tests. The SIVOR project also has the objective of providing a cost-efficient and flexible tool that can be used during the design phases of aircrafts. One of the demanded features of such simulator is a representative behavior of its motion system, which is achieved by an adequate implementation of the washout filter. To the best knowledge of the authors, there are no works in the literature that present a detailed discussion about the implementation of a classical washout filter in such flight simulator, especially when the translational channel is used to its limits. Experimental results to support the proposed solutions are presented herein.
Highlights
In order to minimize aircraft development risks and costs (Brain et al 1996; Allerton 2010), flight simulation environments have been created with the aim of improving flying quality while maintaining a consistent level of operational safety. Allerton (2010) presents a summary of the flight simulation history, as well as a list of applications and benefits of flight simulators.In the preliminary stages of aircraft design, flight simulation environments are made up essentially of desktops with basic visual and simple inceptors, such as pedals and levers
It is important to emphasize that the main objective of this work is not to present theoretical contributions, but an experimental case study which consists on the implementation of the washout filter able to represent a large range of maneuvers and simulate extreme flight conditions on an anthropomorphic robot, while maintaining the simplicity of the classical washout filter, henceforward, SIVOR washout filter
The results presented in this work show that this proposed algorithm can handle all these aspects in a satisfactory manner, while reducing the displacements necessary for the motion simulator to achieve these improvements
Summary
In order to minimize aircraft development risks and costs (Brain et al 1996; Allerton 2010), flight simulation environments have been created with the aim of improving flying quality while maintaining a consistent level of operational safety. Allerton (2010) presents a summary of the flight simulation history, as well as a list of applications and benefits of flight simulators.In the preliminary stages of aircraft design, flight simulation environments are made up essentially of desktops with basic visual and simple inceptors, such as pedals and levers. In order to minimize aircraft development risks and costs (Brain et al 1996; Allerton 2010), flight simulation environments have been created with the aim of improving flying quality while maintaining a consistent level of operational safety. Allerton (2010) presents a summary of the flight simulation history, as well as a list of applications and benefits of flight simulators. In the preliminary stages of aircraft design, flight simulation environments are made up essentially of desktops with basic visual and simple inceptors, such as pedals and levers. As the aircraft design stages succeed, more sophisticated and representative simulation environments are created (Mendonça et al 2013), notably the so-called Engineering Development Systems (EDS). Manag., São José dos Campos, v11, e0919, 2019
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