Identification Method of Elevator Rail Deformation Using Operational Acceleration Data

Abstract

When elevators travel at high speed, horizontal vibrations of the car tend to be set up by guide rail deformation. Therefore, it is important to identify the deformation accurately to improve ride quality. In this paper, we discuss a method for estimating the rail deformation by an inverse transfer function and operational acceleration data. The acceleration data indicates the vibration caused by both the rail deformation and external forces acting on the car, that is, the rope sway and wind pressure excite the car directly when it is moving by a counter weight. To identify the rail deformation from these data accurately, we propose an elevator model that has guide levers and a car. Moreover, the estimation error occurs when accelerometers are installed inaccurately. To avoid this error, the weighting function based on the modal vector is also introduced. The validity of the method is shown by the simulations and experiments.