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using disturbance estimator in a model predictive control for single-phase current source rectifiers
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نویسنده
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hassannia ali ,barakati masoud ,torabi hamed
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منبع
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مهندسي برق دانشگاه تبريز - 1403 - دوره : 54 - شماره : 4 - صفحه:477 -485
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چکیده
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In this paper, first a model predictive control (mpc) for a single-phase current source rectifier (csr) is developed used in electric vehicle (ev) charger structures. due to the uncertainties in its model caused by varying points of connection to the power grid, a disturbance estimator is necessary. in addition to the uncertainties, the csr model’s precision is diminished by the rectifier output’s unmodeled dynamics. the disturbance estimator with lagrange extrapolation yields a more precise model of the single-phase csr for mpc. finite control set model predictive control (fcs-mpc) is used to minimize switching losses by providing an optimal control input, eliminating the need for a modulator due to the limited number of permissible switching modes. the proposed control method is simulated in matlab software and implemented on a 4-kw laboratory prototype. simulation and experimental results confirm the validity of the proposed control method.
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کلیدواژه
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electrical vehicle ,current source converter ,model predictive control ,lagrange extrapolation ,disturbance estimator
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آدرس
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university of sistan and baluchestan, faculty of electrical and computer engineering, iran, university of sistan and baluchestan, faculty of electrical and computer engineering, iran, university of sistan and baluchestan, faculty of electrical and computer engineering, iran
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پست الکترونیکی
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hamed.torabi@ece.usb.ac.ir
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using disturbance estimator in a model predictive control for single-phase current source rectifiers
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Authors
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hassannia ali ,barakati masoud ,torabi hamed
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Abstract
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in this paper, first a model predictive control (mpc) for a single-phase current source rectifier (csr) is developed used in electric vehicle (ev) charger structures. due to the uncertainties in its model caused by varying points of connection to the power grid, a disturbance estimator is necessary. in addition to the uncertainties, the csr model’s precision is diminished by the rectifier output’s unmodeled dynamics. the disturbance estimator with lagrange extrapolation yields a more precise model of the single-phase csr for mpc. finite control set model predictive control (fcs-mpc) is used to minimize switching losses by providing an optimal control input, eliminating the need for a modulator due to the limited number of permissible switching modes. the proposed control method is simulated in matlab software and implemented on a 4-kw laboratory prototype. simulation and experimental results confirm the validity of the proposed control method.
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Keywords
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electrical vehicle ,current source converter ,model predictive control ,lagrange extrapolation ,disturbance estimator
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