Thrust Optimization of Double Primary Tubular Linear Synchronous Motor Based on Neural Network Surrogate Model

Ji, Tianpeng; Huang, Xuzhen; Zhou, Wenshuai

doi:10.1109/icems.2019.8921799

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, there has been a large number of researches devoted to applications of TLSM such as active vehicle suspension [4], the planar magnet array [5], jetting dispenser [6], and two-dimensional nanopositioning [7]. More recently, the progress of modern control engineering has been toward the tracking problem of TLSM, which can be noted as thrust optimization [8], model predictive control [9], [10], and fuzzy control [11], [12].…”

Section: Introductionmentioning

confidence: 99%

A sensorless approach for tracking control problem of tubular linear synchronous motor

Quang

Lanh

2022

IJECE

View full text Add to dashboard Cite

<p>As well-known, linear motors are widely applied to various industrial applications<br />due to their abilities in providing directly straight movement without auxiliary mechanical transmissions. This paper addresses the sensorless control problem of tubular linear synchronous motors, which belong to a family of permanent magnet linear motor. To be specific, a novel velocity observer is proposed to deal with an unmeasurable velocity problem, and asymptotic convergence of the observer error is ensured. Unlike other studies on sensorless control methods for linear motors, our proposed observer is designed by regrading unknown disturbance load in the tracking control problem whereas considering theoretical demonstrations. By adjusting controller parameters properly, the position and velocity tracking error converge in arbitrary small values. Finally, the effectiveness of the proposed method is verified in two illustrative examples.</p>

show abstract