A Laguerre Model-Based Model Predictive Control Law for Permanent Magnet Linear Synchronous Motor

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

doi:10.1007/978-981-10-7512-4_31

Cited by 3 publications

(1 citation statement)

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“…To address the problem of precise motion control for PMLM, various nonlinear control schemes have been employed, such as disturbance observer [8], active disturbance rejection control [9], model predictive control [10], sliding mode control [11], [12], iterative learning control [13], [14], neural-network-based control [15], and adaptive robust control [16], [17]. To specifically list a few, in [18], H ∞ optimal feedback control was proposed to provide high dynamic stiffness to external disturbances.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Set Theory Based Optimal Robust Design for Position Tracking Control of Permanent Magnet Linear Motor

et al. 2019

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In this paper, we design an optimal robust control to address the problem of position tracking control for permanent magnet linear motor (PMLM). The uncertainties in PMLM system, including parameters uncertainty and external disturbance, are nonlinear and time-varying. The uncertainties are assumed to be bounded, and the bounds are described via fuzzy sets. Then, a model-based robust control in deterministic form is proposed. Furthermore, an optimal robust control for PMLM system is formulated as a fuzzy performance index optimization problem, which associated with both the fuzzy system performance and the control cost. The resulting optimal control can guarantee the uniform boundedness and uniform ultimate boundedness. Moreover, on the experimental platform, rapid controller prototyping cSPACE is designed to avoid long time programming and debugging, and provides great convenience for practical operation. Numerical simulations and real-time experimental results are finally presented to illustrate the effectiveness of the optimal robust control for PMLM. INDEX TERMS Fuzzy set theory, optimal control, permanent magnet motors, robust control, uncertainty.

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