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On tracking control problem for polysolenoid motor model predictive approach

Hong Quang, NguyenPhung Quang, NguyenTrung Hai, DoNhu Hien, Nguyen
International Journal of Electrical and Computer Engineering (IJECE) (Sinta 1)Vol. 0 No. 01 Februari 2020
DOI10.11591/ijece.v10i1.pp849-855

Abstrak

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.

Kata Kunci

OptimalRobust and Adaptive ControlsNon Linear and Stochastic ControlsModeling and Identification.Cascade ControlContinuous Control Set Model predictive controlMin Max Model PredictivePermanent magnet linear synchronous motorPolysolenoid Linear Motor

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On tracking control problem for polysolenoid motor model predictive approach | International Journal of Electrical and Computer Engineering (IJECE) | Publiora