Switching frequency minimization harmonic suppression pulse width modulation method for two-level inverter
A pulse width modulation, switching frequency technology, applied in the application field, to achieve the effect of small switching loss, high energy conversion efficiency, and low heat dissipation pressure
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specific Embodiment 1
[0020] Step 1. Sampling the two-level PWM waveforms within a fundamental period P at equal intervals, expressing it as
[0021] x=[x 1 , x 2 ,...,x n ] T
[0022] where n is the number of sampling points, x i ,i=1,2,...,n is the state of the PWM waveform at the i-th sampling point, and its value is 1 or -1;
[0023] Step 2. Express the switching frequency L as the following quadratic function about x
[0024] L=x T A T Ax
[0025] in
[0026]
[0027] Step 3. Expand the two-level PWM waveform into the following Fourier series:
[0028]
[0029] The calculation formula of the Fourier coefficient is as follows
[0030]
[0031]
[0032] According to the rectangular calculation formula of numerical integration, the Fourier coefficients can be approximated as
[0033]
[0034]
[0035] in
[0036]
[0037]
[0038] Among them, k=1 means the fundamental wave, k=2, 3... means the harmonic order;
[0039] Step 4. According to the result of step 3...
specific Embodiment 3
[0062] Assuming that the number of sampling points in one cycle of the PWM waveform is 720, the sequence of binary variables is
[0063] x=[x 1 , x 2 ,...,x 720 ] T
[0064] The switching frequency L is expressed as a quadratic function of x as follows
[0065] L=x T A T Ax
[0066] in
[0067]
[0068] Suppose the harmonic to be eliminated is the 5th, 7, 11, 13, 17, 19, 23, 25th harmonic, and k is {1, 5, 7, 11, 13, 17, 19, 23, 25}, Construct the following binary quadratic programming model
[0069] minL=x T A T Ax
[0070]
[0071]
[0072] Bx≤e
[0073] x ∈ {-1, 1} n
[0074] in
[0075]
[0076]
[0077] B=[s 5 ,s 7 ,s 11 ,s 13 ,s 17 ,s 19 ,s 23 ,s 25 , c 5 , c 7 , c 11 , c 13 , c 17 , c 19 , c 23 , c 25 ] T
[0078] take a 1 =0.6,b 1 =0,e=[0.01,0.01,...,0.01] T . Use the YALMIP toolbox in MATLAB to find the solution x of the quadratic programming model as follows:
[0079] [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,...
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