Open AccessMin Max Model Predictive Control for Polysolenoid Linear Motor
Author(s) -
Nguyen Hong Quang,
Nguyễn Tiến Quang,
Nguyen Nhu Hien,
Nguyễn Thanh Bình
Publication year - 2018
Publication title -
international journal of power electronics and drive systems (ijpeds)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.322
H-Index - 21
ISSN - 2088-8694
DOI - 10.11591/ijpeds.v9.i4.pp1666-1675
Subject(s) - control theory (sociology) , position (finance) , model predictive control , controller (irrigation) , tracking (education) , actuator , repetitive control , computer science , control (management) , tracking error , linear motor , state (computer science) , mathematics , engineering , control system , algorithm , artificial intelligence , psychology , economics , mechanical engineering , pedagogy , electrical engineering , finance , agronomy , biology
The Polysolenoid Linear Motor (PLM) have been playing a crucial role in many industrial aspects because it provides a straight motion directly without mediate mechanical actuators. Some control methods for PLM based on Rotational Motor are applied to obtain several good performances, but position and velocity constraints which are important in real systems are ignored. In this paper, we analysis control problem of tracking position in PLM under state-independent disturbances via min-max model predictive control. The proposed controller brings tracking position error converge to zero and satisfies state including position and velocity and input constraints. The simulation results validity a good efficiency of the proposed controller.