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Dao Phuong Nam
Hanoi University
Computer Science & IT Electrical & Electronics Engineering

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Multi parametric model predictive control based on laguerre model for permanent magnet linear synchronous motors Nguyen Hong Quang; Nguyen Phung Quang; Dao Phuong Nam; Nguyen Thanh Binh
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 2: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.931 KB) | DOI: 10.11591/ijece.v9i2.pp1067-1077

Abstract

The permanent magnet linear motors are widely used in various industrial applications due to its advantages in comparisons with rotary motors such as mechanical durability and directly creating linear motions without gears or belts. The main difficulties of its control design are that the control performances include the tracking of position and velocity as well as guarantee limitations of the voltage control and its variation. In this work, a cascade control strategy including an inner and an outer loop is applied to synchronous linear motor. Particularly, an offline MPC controller based on MPP method and Laguerre model was proposed for inner loop and the outer controller was designed with the aid of nonlinear damping method. The numerical simulation was implemented to validate performance of the proposed controller under voltage input constraints.
Co-Authors Nguyen Hong Quang Nguyen Phung Quang Nguyen Thanh Binh