Multi parametric programming and exact linearization based model predictive control of a permanent magnet linear synchronous motor

Nam, Đào Phương; Quang, Nguyen Hong; Hùng, Nguyễn Mạnh; Ty, Nguyen Trung

doi:10.1109/icsse.2017.8030975

2017 International Conference on System Science and Engineering (ICSSE) 2017

DOI: 10.1109/icsse.2017.8030975

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Multi parametric programming and exact linearization based model predictive control of a permanent magnet linear synchronous motor

Đào Phương Nam

Nguyen Hong Quang

Nguyễn Mạnh Hùng

et al.

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Cited by 2 publications

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“…Composition of polysolenoid linear motorLet us consider a dynamic model of PLM in[20][21][22][23][24]:…”

mentioning

confidence: 99%

On tracking control problem for polysolenoid motor model predictive approach

Quang

Hai

et al. 2020

IJECE

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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.

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“…Composition of polysolenoid linear motorLet us consider a dynamic model of PLM in[20][21][22][23][24]:…”

mentioning

confidence: 99%

On tracking control problem for polysolenoid motor model predictive approach

Quang

Hai

et al. 2020

IJECE

View full text Add to dashboard Cite

show abstract

Experiment-based Comparative Analysis of Nonlinear Speed Control Methods for Induction Motors

Lam

Tuan

et al. 2021

J. Eng. Technol. Sci.

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Field-oriented control (FOC) for induction motors is widely used in industrial applications. By using a fast and accurate torque controller based on a stator current controller it is possible to flexibly implement advanced speed control methods to achieve proper performance both in transient and steady-state states. In this study, a deadbeat controller was used for the current loop. The nonlinear methods used for the outer loop controller were backstepping, flatness-based control, and exact feedback linearization with state derivative. The dynamic responses of these three controls were compared through various experimental results. The advantages and disadvantages of the different control structures were analyzed and evaluated in detail. Based on this evaluation, an appropriate scheme can be specified when deployed in practice.

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Multi parametric programming and exact linearization based model predictive control of a permanent magnet linear synchronous motor

Cited by 2 publications

References 6 publications

On tracking control problem for polysolenoid motor model predictive approach

On tracking control problem for polysolenoid motor model predictive approach

Experiment-based Comparative Analysis of Nonlinear Speed Control Methods for Induction Motors

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