結果:
I am using the SVM block available in Matlab for simulation, but when I open this block, it doesn't seem to resemble any SVM algorithm that I am familiar with. Could someone explain or provide information about the SVM algorithm used in this block? Thank you in advance.
In matpower 7.1 there are many kinds of system tests available. In this case, I wanted to add a photovoltaic generator to the test system. I've seen some discussions about adding a generator to the matpower. However, I don't understand several things:
1. Where should I add a photovoltaic generator to the system test? For example in case5 below:
function mpc = case5
%% MATPOWER Case Format : Version 2
mpc.version = '2';
%%----- Power Flow Data -----%%
%% system MVA base
mpc.baseMVA = 100;
%% bus data
% bus_i type Pd Qd Gs Bs area Vm Va baseKV zone Vmax Vmin
mpc.bus = [
1 2 0 0 0 0 1 1 0 230 1 1.1 0.9;
2 1 300 98.61 0 0 1 1 0 230 1 1.1 0.9;
3 2 300 98.61 0 0 1 1 0 230 1 1.1 0.9;
4 3 400 131.47 0 0 1 1 0 230 1 1.1 0.9;
5 2 0 0 0 0 1 1 0 230 1 1.1 0.9;
];
%% generator data
% bus Pg Qg Qmax Qmin Vg mBase status Pmax Pmin Pc1 Pc2 Qc1min Qc1max Qc2min Qc2max ramp_agc ramp_10 ramp_30 ramp_q apf
mpc.gen = [
1 40 0 30 -30 1 100 1 40 0 0 0 0 0 0 0 0 0 0 0 0;
1 170 0 127.5 -127.5 1 100 1 170 0 0 0 0 0 0 0 0 0 0 0 0;
3 323.49 0 390 -390 1 100 1 520 0 0 0 0 0 0 0 0 0 0 0 0;
4 0 0 150 -150 1 100 1 200 0 0 0 0 0 0 0 0 0 0 0 0;
5 466.51 0 450 -450 1 100 1 600 0 0 0 0 0 0 0 0 0 0 0 0;
];
%% branch data
% fbus tbus r x b rateA rateB rateC ratio angle status angmin angmax
mpc.branch = [
1 2 0.00281 0.0281 0.00712 400 400 400 0 0 1 -360 360;
1 4 0.00304 0.0304 0.00658 0 0 0 0 0 1 -360 360;
1 5 0.00064 0.0064 0.03126 0 0 0 0 0 1 -360 360;
2 3 0.00108 0.0108 0.01852 0 0 0 0 0 1 -360 360;
3 4 0.00297 0.0297 0.00674 0 0 0 0 0 1 -360 360;
4 5 0.00297 0.0297 0.00674 240 240 240 0 0 1 -360 360;
];
%%----- OPF Data -----%%
%% generator cost data
% 1 startup shutdown n x1 y1 ... xn yn
% 2 startup shutdown n c(n-1) ... c0
mpc.gencost = [
2 0 0 2 14 0;
2 0 0 2 15 0;
2 0 0 2 30 0;
2 0 0 2 40 0;
2 0 0 2 10 0;
];
2. What about the parameters included for the specifications of a photovoltaic generator? In this case, I want to add a 100 MW photovoltaic generator.
3. In the "runopf" simulation, is the value of the 'objective function value' the amount of generation cost of the system? Do these costs include fuel costs, operating costs, maintenance costs, and also the initial investment?
Thanks in advance.
Dear Forum,
I tryed to use my STM32F767zi nucleo with simulink.
I followed the steps from the training material.
In the end I ended up with only 2 libraries rather than 5 as in the training video !!
Where are the missing 3 libraries?
I use Matlab 2020a
Thank you
Andy
I noticed a couple new replies show up on the recent poll a day or so ago, but since then, the page can't be loaded anymore in any browser I've tried.
Is MathWorks going to spend 5 years starting in 2024 making Python the #1 supported language?
I'm not sure it's authentic information, and am looking forward to a high level of integration with python.
Reference:
i need a code It can meansure the Apothem distance at per 10° angles 
Hello Everyone,
I want to model an electric vehicle in simscape electrical, I have few quiries regarding it.
- I have modelled an 3-Phase inverter, and used ee_getPowerLossSumary to get switching losses, and the results are okay as i was expecting, but now is there any other function to calculate conduction losses?
- I want to connect a BLDC motor, I have few parameters from manufacturers datasheet, but not all the parameters, so what would the best way according to your understanding, to model motor losses (Copper + Core).
I'm trying to calculate major fundamental losses of an EV. Looking for your inputs on this.
Thank you!
i am trying to build a pulse radar using barker codes. i modulate the barker code and sine wave and added some noise as well. then i attached a matched filter whose parameters are shown in the image. and then made an attempt to demodulate, which i don't think is right. can someone please help me with the matched filter- like are the coefficients right? and also what else can i add remove and demodulate/detect.
PLEASE HELP ME OUT HERE I HAVE BEEN STUCK FOR QUITE A WHILE AND UNABLE TO FIGURE OUT HOW TO GO FURTHER
I need your help.
I am working on a simulink model and I want whenever run it, I give it some inputs. e.g. I can give it different heights when I want it to work.
I defined a file.m in the same directory and same name. but whenever I run it I face this error:
What should I do?
Has anyone ever been in this situation. When I use the ODE toolbox to find some complex system of equations with coefficients that vary greatly in order of magnitude, the results are completely incorrect. If you are in the same situation or know a solution, welcome to discuss with me, thank you!
Hi Any one knows how to interface delta VFD MS300 with matlab to control motor speed and
Hi,
I'm trying to install R2023b silently on Windows 10 Enterprise 22H2. The process starts but fails 10% into everything.
End of the file C:\tempmatlab\R2023b\installer_input.txt
(Dec 20, 2023 08:43:48) Session key: 5955da33-7f96-454a-b24a-aa1914758a09
(Dec 20, 2023 08:43:49) Product Files Folder: C:\tempmatlab\R2023b\archives
(Dec 20, 2023 08:43:52) License Agreement validation is successful.
(Dec 20, 2023 08:43:52) FIK validation is successful.
(Dec 20, 2023 08:43:52) License File validation is successful.
(Dec 20, 2023 08:43:52) Folder validation is successful.
(Dec 20, 2023 08:43:52) Product selection validation is successful.
(Dec 20, 2023 08:43:52) Confirm Selections
(Dec 20, 2023 08:43:52) Destination
(Dec 20, 2023 08:43:52) C:\Program Files\MATLAB\R2023b
(Dec 20, 2023 08:43:52) Products
(Dec 20, 2023 08:43:52) 113 of 113 products
(Dec 20, 2023 08:43:52) 23.74 GB required
(Dec 20, 2023 08:44:47) 1%
(Dec 20, 2023 08:45:09) 2%
(Dec 20, 2023 08:46:25) 3%
(Dec 20, 2023 08:46:40) 4%
(Dec 20, 2023 08:47:12) 5%
(Dec 20, 2023 08:47:20) 10%
(Dec 20, 2023 08:47:48) Exiting with status -2
(Dec 20, 2023 08:47:48) End - Unsuccessful
Both a FIK & license.dat are accessible during the install. There is 80GB of free disk space as well. No one is logged in to Windows when the install is performed. What does status -2 mean?
Thnaks!
I have encountered a problem. I want to study the direction of PHEVP2 configuration energy control strategy, but the whole vehicle model has stumped me. I don't know how to proceed, and every time I run, an error message will be reported. I don't understand where the problem lies?
Никак не получается создать новый ThinkHTTP так как пишет что URL?АДРЕСС СТРАНИЦЕ НЕ ДЕЙСТВИТЕЛЬНЫЙ
Here's the English translation. "I can't create a new ThinkHTTP because it says that the URL is not valid"
I'm going to customize the example of the MATLAB px4 hitl simulation and apply it to our current plane called SkysurferX8. I've calculated the aerodynamic factor and put it all in, but there's a problem. I wonder which code part of the example should be modified for trim flight speed, posture angle, etc. If you know any experts, I'd like to ask for your advice.
Example:
A=[-1.0000 0.1667 -2.9897
0.3624 -1.0604 -0.5243
4.0990 -4.5547 7.0303]
[L,U]=lu(A)
L=[-0.2440 1.0000 0
0.0884 0.6964 1.0000
1.0000 0 0]
U=[4.0990 -4.5547 7.0303
0 -0.9445 -1.2746
0 0 -0.2583]
A correct answer is
L=[1.0000 0 0
-0.3624 1.0000 0
-4.0990 3.8714 1.0000]
U=[-1.0000 0.1667 -2.9897
0 -1.0000 -1.6078
0 0 1.0000]
Hello, I am designing an MPC controller for a 4th order plant, which has a 1x1 input and two outputs. In the first instance, this controller is using the quadprog solver for the optimization method. I would like to know if this is what I am doing. designing in the first instance is correct or is there some strange detail, I insert the code that I used for the script and a test of the simulink block used:
%%%%%%%%%% Sistema de control predictivo MPC QUAD PROG %%%%%%%%%%%%%%%
clc
clear all
close all
%La planta RFL se puede modelar como un sistema con respuesta oscilatoria
%de segundo orden debido a las vibraciones de la barra modelandose de la
%siguiente manera: J*x''+Bx'+Kx=0, con solución en laplace de la forma:
%X(s)= Xo/J*(s^2+(B/J)*s+K/J)^-1 y se iguala a la respuesta del sistema
%s^2=2*chi*w_n*s+w_n^2 y se tiene que w_n^2=K/J, 2*chi*w_n=B/J
%Especificaciones de la planta
%tiempo de seteo del servo ts<=0.5 [s], llega a estado estacionario
%porcentaje de overshoot inferior a 7.5%
%máximo angulo de deflexión de la barra |alfa |< 10 deg
%máximo voltaje de control |Vm| <=10 [V]
%% Parámetros de la planta RFL%
Beq=0.004; %Coeficiente de viscosidad de fricción equivalente en [N*m]/(rad/s)
Jeq=2.08e-3; %Momento de inercia equivalente en kg*m^2
ml=0.065; %Masa de la barra en kg
Ll=0.419; %Largo de la barra en m
w_n=19.4495; %Frecuencia de oscilacion en [rad/s]
Jl=(ml*Ll^2)/3; %Momento de inercia de la barra en kg*m^2 de la forma (ml*Ll^2)/3
Ks=Jl*w_n^2; %Fricción o dureza de la barra en N*m/rad
%% Parametros del filtro
% SRV02 filtro pasa altos en control PD utilizado para computar la
% velocidad theta y alfa
% Frecuencias de corte en (rad/s)
wcf_1 = 2*pi*50;
wcf_2 = 2*pi*10;
%% Matrices de la planta a representar en V.E.
A=[0 0 1 0; 0 0 0 1; 0 Ks/Jeq -Beq/Jeq 0; 0 -Ks*(Jl+Jeq)/(Jl*Jeq) Beq/Jeq 0];
B=[0;0;1/Jeq;-1/Jeq];
C=[1 0 0 0;0 1 0 0];
D=[0;0];
%% Se representa en variables de estado la planta RFL
sys_RFL=ss(A,B,C,D);
x_0 = [45;0;0;0]; %Condiciones iniciales, si hay efectos en alfa no hay solucion, es decir estado 2 y estado 4
%% Varables de estado en tiempo discreto
T_sample=2.02; %Tiempo de muestro en discreto
tz_RFL=c2d(sys_RFL,T_sample); %Conversión a tiempo discreto de la matriz
[Ad,Bd,Cd,Dd]=ssdata(tz_RFL); %Matrices en tiempo discreto
n=length(Ad); %Largo de la matriz A discreta
[L_1,P_1,pol_1] = dlqr(Ad,Bd,eye(4),eye(1));
%Ax=Ad-Bd*L_1;
%% Constantes y Restricciones
N=5; %Horizonte de prediccion
x_min= [-90;-8;-0;-0]; %Restricciones de estado mínimas
x_max= [90;8;0;0]; %Restricciones de estado máximas
u_min= -10; %Restricciones de entrada mínimas
u_max= 10; %Restricciones de entrada mínimas
x_Nmin= x_min; %Restricciones de estado mínimas
x_Nmax= x_max; %Restricciones de estado máximas
Ipos= eye(N); %a los estados
Ineg= -eye(N); %a los estados
Q=C'*C; %Matriz de peso de estado Q=C'*C
R=eye(size(B,2)); %Matriz de peso actuación 1 |Posiblemente haya que ajustar los valores
[L_inf, PN, ~] = dlqr(Ad,Bd,Q,R);
and the test code:
options = optimset('Display','off');
%%%Condiciones iniciales
x0=x_0;
%%%Determinando las dimenciones del sistema
n = length(A); % largo de A
dimA = size(A,1);
dimB = size(B,2);
uvec = zeros(dimB*N,1);
coder.extrinsic('quadprog') % Utiliza quadprog
%% Calculo de la matriz Oa y Aa
%%%Inicializando las matrices Oa y Aa que definen el costo de MPC
Oa = zeros(dimA*N,dimB*N);
Aa = zeros(dimA*N,dimA);
for k = 1:N
Oa(n*k-(n-1):n*k,1) = (A^(k-1))*B; %Se define la primera columna de la matriz Oa
end
for j = 2:N
for k = j:N
Oa(n*k-(n-1):n*k,j) = Oa(n*(k-1)-(n-1):n*(k-1),j-1); %Desde la segunda columna de la matriz Oa
end
end
for k = 1:N
Aa(n*k-(n-1):n*k,:) = A^k ; %Se define la matriz Aa
end
Aa_N = A^N;
Oa_N = Oa(end-3:end,:); %Últimos 4 estados de Oa
%% Matrices y Restricciones
%%%Calculo de H y F para el costo de MPC
H = 2*(kron(eye(N),R)+Oa'*blkdiag(kron(eye(N-1),Q),P_1)*Oa);
H = (H+H')/2;
h = ((2*x0'*Aa'*blkdiag(kron(eye(N-1),Q),P_1)*Oa)');
%%%Restricciones ¿de la señal de estado
%%%Matriz M
Oa_Nineq = [Oa_N;-Oa_N];
Aineq = [Oa;-Oa];
%%%Matriz c
ba1_N = x_Nmax-Aa_N*x0;
ba2_N = -x_Nmin+Aa_N*x0;
Ba_Nineq = [ba1_N;ba2_N];
Bineq = [repmat(x_max,N,1)-Aa*x0;repmat(-x_min,N,1)+Aa*x0];
%%% Restricciones de la señal de entrada
LB = u_min*ones(N,1);
UB = u_max*ones(N,1);
%% Restricciones agrupadas
G = [Oa_Nineq;Aineq;Ipos;Ineg];
g = [Ba_Nineq;Bineq;UB;-LB];
%%%Vector de salida
uvec = quadprog(H,h,G,g,[],[],[],[],[],options); % resuelve con quadprog
u = uvec(1);
I do this for a plant without reference, as long as it goes to state zero with the calculated input
I want to set wind speed 2m/s for 5second, then next 5 second 4m/s, then next 5 second 6m/s.......
For doing this which block should I use in simulink?
American style football
12%
Soccer / football
39%
baseball
5%
basketball
12%
tennis or golf
7%
rugby, track, cricket, racing, etc.
26%
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