create a function for the optimization of a bldc motor in matlab

main.m
function optimized_values = optimize_bldc_motor(parameters)
    % Define the optimization variables
    % For example, considering parameters like: number of poles, phase resistance, inductance, etc.
    lb = [0, 0, 0]; % Lower bounds for variables
    ub = [10, 5, 5]; % Upper bounds for variables
    x0 = [1, 2, 3]; % Initial guess for variables
    
    % Perform optimization using fmincon
    options = optimoptions(@fmincon,'Algorithm','interior-point');
    optimized_values = fmincon(@(x)cost_function(x, parameters), x0, [], [], [], [], lb, ub, [], options);
end

function cost = cost_function(x, parameters)
    % Simulate the BLDC motor with the provided parameters
    % and calculate a cost based on the motor performance
    
    % Example simulation and cost calculation
    % cost = x(1)^2 + x(2)^2 + x(3)^2; % Some arbitrary cost function
    
    % You should use the provided parameters and x (optimized variables)
    % to run the simulation and calculate a relevant cost.
end
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