METHOD FOR ESTIMATING STATES OF A POWER ELECTRONIC SYSTEM
First Claim
1. A method for estimating states of a power electronic system having a converter circuit, the method comprising:
- (a) determining output variable vectors y(k) for sampling times k=−
N+1 to k=0, where N is a predefinable sampling horizon;
(b) determining manipulated variable vectors u(k) for the sampling times k=−
N+1 to k=0;
(c) determining a first system model function f(x(k), u(k)) at the sampling time k for describing the power electronic system, which function is dependent on a manipulated variable vector u(k) and a system state vector x(k) at the sampling time k;
(d) determining a second system model function g(x(k), u(k)) at the sampling time k for describing the power electronic system, which function is dependent on the manipulated variable vector u(k) and the system state vector x(k) at the sampling time k, the system state vector x(k) being estimated at the sampling time k=0 by;
(e) varying the system state vector x(k) and the system state vector x(k+1) for each of the sampling times k=−
N+1 to k=0, such that a sum formed by an addition of a first vector norm obtained by subtracting the first system model function f(x(k), u(k)) from the system state vector x(k+1), and another vector norm obtained by subtracting the second system model function from output variable vector y(k), becomes minimal over the sampling times k=−
N+1 to k=0; and
(f) selecting the system state vector x(k) at the sampling time k=0, wherein;
(g) the first system model function f(x(k), u(k)) and the second system model function g(x(k), u(k)) are each affine-linear.
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Abstract
A method is disclosed for estimating states of a power electronic system, the system having a converter circuit. An exemplary method includes varying a system state vector x(k) and a system state vector x(k+1) for each of sampling times k=−N+1 to k=0 in such a manner that a sum formed by an addition of a first vector norm obtained by subtracting a first system model function f(x(k), u(k)) from the system state vector x(k+1), and another vector norm obtained by subtracting a second system model function g(x(k), u(k)) from the output variable vector y(k), becomes minimal over the sampling times k=−N+1 to k=0. A desired system state vector x(k) at the sampling time k=0 can then be selected.
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Citations
12 Claims
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1. A method for estimating states of a power electronic system having a converter circuit, the method comprising:
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(a) determining output variable vectors y(k) for sampling times k=−
N+1 to k=0, where N is a predefinable sampling horizon;(b) determining manipulated variable vectors u(k) for the sampling times k=−
N+1 to k=0;(c) determining a first system model function f(x(k), u(k)) at the sampling time k for describing the power electronic system, which function is dependent on a manipulated variable vector u(k) and a system state vector x(k) at the sampling time k; (d) determining a second system model function g(x(k), u(k)) at the sampling time k for describing the power electronic system, which function is dependent on the manipulated variable vector u(k) and the system state vector x(k) at the sampling time k, the system state vector x(k) being estimated at the sampling time k=0 by; (e) varying the system state vector x(k) and the system state vector x(k+1) for each of the sampling times k=−
N+1 to k=0, such that a sum formed by an addition of a first vector norm obtained by subtracting the first system model function f(x(k), u(k)) from the system state vector x(k+1), and another vector norm obtained by subtracting the second system model function from output variable vector y(k), becomes minimal over the sampling times k=−
N+1 to k=0; and(f) selecting the system state vector x(k) at the sampling time k=0, wherein; (g) the first system model function f(x(k), u(k)) and the second system model function g(x(k), u(k)) are each affine-linear. - View Dependent Claims (3, 4, 5, 6, 7)
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2. A method for estimating states of a power electronic system having a converter circuit, the method comprising:
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(a) determining output variable vectors y(k) for sampling times k=−
N+1 to k=0, where N is a predefinable sampling horizon;(b) determining manipulated variable vectors u(k) for the sampling times k=−
N+1 to k=0;(c) determining a first system model function f(x(k), u(k)) at the sampling time k for describing the power electronic system, which function is dependent on a manipulated variable vector u(k) and a system state vector x(k) at the sampling time k; (d) determining a second system model function g(x(k), u(k)) at the sampling time k for describing the power electronic system, which function is dependent on the manipulated variable vector u(k) and the system state vector x(k) at the sampling time k, the system state vector x(k) being estimated at the sampling time k=0 by; (e) varying the system state vector x(k) and the system state vector x(k+1) for each of the sampling times k=−
N+1 to k=0, such that a sum formed by an addition of a first vector norm obtained by subtracting the first system model function f(x(k), u(k)) from the system state vector x(k+1), and another vector norm obtained by subtracting the second system model function from the output variable vector y(k), becomes minimal over the sampling times k=−
N+1 to k=0; and(f) selecting the system state vector x(k) at the sampling time k=0, wherein; (g) the first system model function f(x(k), u(k)) and the second system model function g(x(k), u(k)) are each piecewise affine-linear. - View Dependent Claims (8, 9, 10, 11, 12)
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Specification