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    Dynamic stability study of a conceptual fluidic thrust-vectored aerial tail-sitter

    , Article AIAA Modeling and Simulation Technologies Conference, 2006, Keystone, CO, 21 August 2006 through 24 August 2006 ; Volume 2 , 2006 , Pages 713-724 ; 1563478218 (ISBN); 9781563478215 (ISBN) Saghafi, F ; Banazadeh, A ; Sharif University of Technology
    2006
    Abstract
    In this paper, the dynamic stability of a small thrust-vectored flapless aerial vehicle is investigated. The study was based on linearization of nonlinear equations of motion, using the aircraft longitudinal and lateral-directional stability derivatives. Since the aircraft was supposed to be merely controlled by fluidic thrust vectoring, the concept was novel and some innovative derivatives had to be introduced. The aircraft characteristic equations were then derived in terms of the obtained derivatives and used for dynamic stability analysis and flying quality assessment in horizontal flight. As well, nonlinear simulation modeling was used for dynamical mode excitation and observation. All... 

    Liquid jet trajectory and droplet path influenced by combined cross flow and electric fields

    , Article Chemical Engineering Science ; Volume 181 , 18 May , 2018 , Pages 114-121 ; 00092509 (ISSN) Rajabi, A ; Morad, M. R ; Rahbari, N ; Pejman Sereshkeh, S. R ; Razavi, M ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    This study investigates an ethanol liquid jet subjected to combination of an air crossflow and a normal electric field. The results on the liquid jet trajectory and subsequent droplets flight paths are presented. The liquid jet trajectory was found as a function of two non-dimensional quantities; the liquid jet to the crossflow momentum ratio and the electroinertial number. The electroinertial number is defined as the ratio between the liquid jet specific momentum and the electric force. A correlation is introduced for the jet trajectory in low crossflow speeds and electric field intensities. The same two quantities control the detached droplets flight paths. Satellite droplets flight angles... 

    Optical flow-based obstacle avoidance of a fixed-wing MAV

    , Article Aircraft Engineering and Aerospace Technology ; Volume 83, Issue 2 , 2011 , Pages 85-93 ; 00022667 (ISSN) Rezaei, M ; Saghafi, F ; Sharif University of Technology
    2011
    Abstract
    Purpose - The purpose of this paper is to describe optical flow-based navigation of a very light fixed-wing aircraft in flight between obstacles. Design/methodology/approach - The optical flow information of two cameras mounted on the aircraft is used to detect the obstacle. It is assumed that the image processing has been completed and the optical flow vectors have been obtained beforehand. The optical flow is used to detect the obstacles and make a rapid turn manoeuvre for the aircraft. Findings - It is shown that using the optical flow feedback by itself is unable to give a rapid turn to the aircraft and its rate should be employed into the control law. Six degree-of-freedom flight... 

    In-flight estimation of time-varying aircraft center of gravity position based on kinematics approach

    , Article Journal of Aircraft ; Volume 55, Issue 5 , 2018 , Pages 2037-2049 ; 00218669 (ISSN) Dehghan Manshadi, A ; Saghafi, F ; Sharif University of Technology
    American Institute of Aeronautics and Astronautics Inc  2018
    Abstract
    In-flight aircraft center of gravity (COG) position estimation is investigated in this study based on the kinematics approach. The Quad-M basics of system identification requirements are carefully investigated for time-invariant and time-varying COG estimation during airdrop maneuver as a case study that contains both conditions. Modeling and simulation of airdrop maneuver are employed to prepare the required maneuver and measurement data for this investigation. The relative-acceleration equation, as a model structure, and parameter modeling of time-varying COG location and acceleration are introduced into the system identification and parameter estimation framework. The Kalman filter method...