Intelligent Control Based on a Neural Network for Aircraft Landing Gear with a Magnetorheological Damper in Different Landing Scenarios

Vibration Control of MR Damper Landing Gear

In the field of Automation, Fuzzy Control Fuzzy control has significant merits which are utilized in intelligent controllers, especially for vibration control systems. This paper is concerned with the application aspects of the developed MR damper for landing gear system, to attenuate the sustained vibrations during the landing phase. Also a comparative study is made on the responses obtained f...

Aircraft Landing Gear Design & Development

Landing gear is one of the critical subsystems of an aircraft. The need to design landing gear with minimum weight, minimum volume, high performance, improved life, and reduced life cycle cost have posed many challenges to landing gear designers and practitioners. Further, it is essential to reduce the landing gear design and development cycle time while meeting all the regulatory and safety re...

Evaluation of a Landing Gear Semi-active Control System for Complete Aircraft Landing

This paper deals with the simulation of landing gear semi-active control for a small trainer aircraft in a multibody framework. The behavior of single passive landing gear drop test simulation models and of a complete aircraft landing simulation model, developed and implemented in the commercial multibody code ADAMS in previous works, is compared to the that of analogous models equipped with se...

Magnetorheological Landing Gear for UAVs – A conceptual design

Thedevelopment of Unmanned Air Vehicles (UAVs) for both military and civilian applicationslead the opportunites for the development of advanced technologies to improve their operational performance. Due to various mission requirements UAVs will carry different types of payloads which change the total all-up weight. The landing gears of the UAVs should be optimized to the changing weights and va...

Application of generalised neural network for aircraft landing control system