Adaptive Model Predictive Controller

I am working on LFC using adaptive model predictive controller (AMPC). The code i generated for Update Model Plant is showing Mat.A does not match with AMPC A input in terms of dimension and matrix size. What should i do?
Below is the code of one of the "Update Model Plant" for area 1.
function [A, B, C, D, U, Y, X, DX] = area1_thermal_control(freq_dev, tie_line_dev, control_input)
% Inputs:
% freq_dev: Frequency deviation (scalar)
% tie_line_dev: Tie-line power deviation (scalar)
% control_input: Control signal (governor output)
% Outputs:
% A, B, C, D: 3D State-space matrices (for all prediction steps)
% U: Control input (scalar)
% Y: Output (frequency deviation, scalar)
% X: State vector [freq_dev; tie_line_dev]
% DX: Rate of change of state vector
% Define prediction horizon
P = 10; % Number of prediction steps
% Thermal power plant 3D state-space matrices
A_base = [-0.05, 0; 0, -2];
B_base = [1; 0];
C_base = [1, 0];
D_base = 0;

댓글 수: 2

John D'Errico
John D'Errico 2024년 11월 16일
What should you do? Since you show no code, you should write better code.
If you want better help, you need to provide some basis so someone can help you. Make it possible to get help, or the only possible answer is as I gave it above.
Dafom
Dafom 2024년 11월 16일
편집: Dafom 2024년 11월 16일
Hi Sir John D'Errico.
Below is the code of one of the 'Update Model Plant' for Area 1. Kindly go through and see how you can help out.
function [A, B, C, D, U, Y, X, DX] = area1_thermal_control(freq_dev, tie_line_dev, control_input)
% Inputs:
% freq_dev: Frequency deviation (scalar)
% tie_line_dev: Tie-line power deviation (scalar)
% control_input: Control signal (governor output)
% Outputs:
% A, B, C, D: 3D State-space matrices (for all prediction steps)
% U: Control input (scalar)
% Y: Output (frequency deviation, scalar)
% X: State vector [freq_dev; tie_line_dev]
% DX: Rate of change of state vector
% Define prediction horizon
P = 10; % Number of prediction steps
% Thermal power plant 3D state-space matrices
A_base = [-0.05, 0; 0, -2];
B_base = [1; 0];
C_base = [1, 0];
D_base = 0;
% Replicate matrices across the third dimension

댓글을 달려면 로그인하십시오.

답변 (0개)

카테고리

도움말 센터File Exchange에서 Code Generation에 대해 자세히 알아보기

제품

릴리스

R2024a

질문:

2024년 11월 16일

편집:

2024년 11월 16일

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by