Open AccessMulti parametric model predictive control based on laguerre model for permanent magnet linear synchronous motors
Author(s) -
Nguyễn Hồng Quang,
Nguyễn Tiến Quang,
Đào Phương Nam,
Nguyễn Thanh Bình
Publication year - 2019
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v9i2.pp1067-1077
Subject(s) - control theory (sociology) , inner loop , linear motor , controller (irrigation) , parametric statistics , cascade , model predictive control , computer science , pid controller , voltage , parametric model , nonlinear system , magnet , control engineering , engineering , control (management) , physics , mathematics , mechanical engineering , temperature control , statistics , electrical engineering , quantum mechanics , artificial intelligence , chemical engineering , agronomy , biology
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.