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 from the MR damper landing gear by utilizing PID and Fuzzy PID controllers.Theory is a well-known technique to acquire the desired response of different non-linear systems. Keywords—Magneto-Rheological (MR) damper; Proportional Integral Derivative (PID) Controller; Fuzzy Logic Controller (FLC) I. INTRODUCTION Magneto-Rheological (MR) Fluid is an intelligent material with an ability to amend itself from free-flowing viscous liquids to semi-solid state under the effect of magnetic field. By the use of such materials, MR's damping force can be utilized to obtain proper control on vibration, which is not possible with traditional dampers based on oil gas or hydraulic pressure. The specific properties of MR damper make the same to be used in this application such as small volume, light in weight, low energy dissipation, quick response and a large adjustable range of damping force (2). During the process of takeoff and landing of an aircraft, the impact of road is greatly reduced by the landing gear that consists of the MR damper (3). The fundamental characteristics of MR damper is its non linearity, hysteresis and saturation while that of landing gear is a multifaceted nonlinear pulsation system with multiple degrees of freedom. Thus it is difficult to create an accurate mathematical model, i.e. why the traditional linear control model can't achieve the satisfactory outcome. By and large, a variety of nonlinear control algorithms are utilized for nonlinear systems such as optimal control, fuzzy control and neural network control in order to improve the response of the respective system. Among all the algorithms, the fuzzy control has various merits; simple modeling, high control precision and better capability (1). Therefore, Fuzzy Controller is applied in intelligent controllers, especially for vibration control systems. Juang and Cheng have developed four ANN controllers to land a simulated aircraft under the effect of vibration and tested by FNC varying turbulence conditions (6).