On tracking control problem for polysolenoid motor model predictive approach

Nguyen Hong Quang (Thai Nguyen University of Technology)
Nguyen Phung Quang (Hanoi University of Science and Technology)
Do Trung Hai (Thai Nguyen University of Technology)
Nguyen Nhu Hien (Thai Nguyen University of Technology)

International Journal of Electrical and Computer Engineering
Vol 10, No 1: February 2020

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.