Position-sensorless drive of linear pulse motor for suppressing transient vibration

Abstract

The linear pulse motor (LPM) has been widely used because of its simple structure and ease of control without the use of feedback. However, the transient vibration inherent in the LPM results in degraded response performance. The fastest way to suppress the vibration is to close the control loop by means of a position feedback sensor. But the straightforward use of such a sensor feedback results in high cost and a complicated configuration and therefore sacrifices the structural advantages of the LPM. The authors therefore propose Kalman filter-based position sensor control as a means of suppressing transient vibration. In this proposed control method, the mover position and speed are optimally estimated by using an extended Kalman filter applied to the nonlinear state equation of the excitation winding circuits. The effectiveness of this control method is demonstrated by experiments on a prototype LPM system using a DSP.

Analysis and Performance Improvement of Induction Motor drive for Traction Application

“…Lyapunov formula is used to verify the speed deviation of the feedback system. From Experimentation, it can be finalized that the method presented can be dealt with the difficulty of ripple force LHSM drive [6][7]. The recent progress in electric traction for rail and road Vehicles are discussed.…”

Control for Multi-DOF Micro-Order Planar Motion Stage Based on Sliding Mode Observer

“…Especially these sensors limit the travel range because this range for the moving element of stage is always decided by cross-action of optical beam or multi sensors. To overcome the above shortcomings of current precision position-sensing, many achievements have been done by using sensorless control [6,7]. However, up to now the sensorless control method was only used in open-loop mode and the test was conducted only in single-axis motion stage.…”

An LVDT-based self-actuating displacement transducer

“…Displacements can then be obtained by integration of velocities. Although most sensorless control methods are designed for rotary machines, self-sensing techniques have also been developed for linear actuators [1][2][3][4][5] and the related loudspeakers [6][7][8]. Self-sensing control is also an active research topic in magnetic levitated systems [9][10][11][12].…”