Open AccessOn tracking control problem for polysolenoid motor model predictive approach
Author(s) -
Nguyen Hong Quang,
Nguyễn Tiến Quang,
Do Trung Hai,
Nguyen Nhu Hien
Publication year - 2020
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
ISSN - 2088-8708
DOI - 10.11591/ijece.v10i1.pp849-855
Subject(s) - control theory (sociology) , position (finance) , tracking (education) , model predictive control , actuator , controller (irrigation) , control engineering , state (computer science) , computer science , control (management) , motion control , engineering , artificial intelligence , algorithm , psychology , pedagogy , finance , agronomy , economics , biology , robot
The Polysolenoid Linear Motor (PLM) have been playing a crucial role in many industrial aspects due to its functions, in which a straight motion is provided directly without mediate mechanical actuators. Recently, with several commons on mathematic model, some control methods for PLM based on Rotational Motor have been applied, but position, velocity and current constraints which are important in real systems have been ignored. In this paper, position tracking control problem for PLM was considered under state-independent disturbances via min-max model predictive control. The proposed controller forces tracking position errors converge to small region of origin and satisfies state including position, velocity and currents constraints. Further, a numerical simulation was implemented to validate the performance of the proposed controller.