Simulate An Adaptive Clustering-Based Algorithm for Automatic Path Planning of Heterogeneous UAVs

5 vues (au cours des 30 derniers jours)
I wana simulate an article about UAVs;and I have some problems;please guid me to how simulate this artical compeletly.thanks a lot...
J. Chen, Y. Zhang, L. Wu, T. You and X. Ning, "An Adaptive Clustering-Based Algorithm for Automatic Path Planning of Heterogeneous UAVs," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 16842-16853, Sept. 2022, doi: 10.1109/TITS.2021.3131473.
  1 commentaire
Hamid
Hamid le 22 Avr 2023
I have coded up to this point, please guide me to continue:
%% Adaptive Clustering-Based Algorithm for Automatic Path Planning of Heterogeneous UAVs
clear all;
close all;
clc;
%% Initialization
% Define the number of UAVs
num_UAVs = 5;
% Define the maximum flight time for each UAV
max_flight_time = 60; % minutes
% Define the maximum speed for each UAV
max_speed = 20; % m/s
% Define the initial positions of the UAVs
initial_positions = [0, 0; 1000, 1000; -1000, -1000; -500, 500; 500, -500];
% Define the target locations for each UAV
target_locations = [2000, 2000; -2000, -2000; 1500, -1500; -1500, 1500; 1000, -1000];
% Define the communication range between UAVs
communication_range = 500; % meters
% Define the clustering threshold
clustering_threshold = communication_range / sqrt(num_UAVs);
% Define the maximum number of iterations for clustering
max_iterations_clustering = num_UAVs;
% Define the maximum number of iterations for path planning
max_iterations_path_planning = num_UAVs * max_flight_time;
%% Clustering-Based Algorithm
% Initialize variables
current_positions = initial_positions;
current_time = zeros(num_UAVs,1);
current_targets_assigned = zeros(num_UAVs,num_UAVs);
current_targets_reached = zeros(num_UAVs,1);
current_clusters = cell(num_UAVs,1);
% Loop until all targets are reached or the maximum number of iterations is reached
for iteration = 1:max_iterations_path_planning
end
% Cluster the UAVs based on their current positions
for i = 1:num_UAVs
current_clusters{i} = [];
for j = 1:num_UAVs
if i ~= j && norm(current_positions(i,:) - current_positions(j,:)) <= clustering_threshold
current_clusters{i} = [current_clusters{i}, j];
end
end
end
% Assign targets to UAVs in each cluster
for i = 1:num_UAVs
if ~current_targets_reached(i)
targets_available = setdiff(1:num_UAVs,current_targets_assigned(i,:));
targets_in_cluster = [];
for j = 1:length(current_clusters{i})
targets_in_cluster = [targets_in_cluster,current_targets_assigned(current_clusters{i}(j),:)];
end
targets_in_cluster_unique = unique(targets_in_cluster);
targets_to_assign = setdiff(targets_available,targets_in_cluster_unique);
if ~isempty(targets_to_assign)
distances_to_targets_to_assign = zeros(length(targets_to_assign),1);
for k = 1:length(targets_to_assign)
distances_to_targets_to_assign(k) = norm(target_locations(targets_to_assign(k),:) - current_positions(i,:));
end
[~,min_index] = min(distances_to_targets_to_assign);
target_assigned_index = targets_to_assign(min_index);
current_targets_assigned(i,target_assigned_index) = 1;
end
end
end
% Move the UAVs towards their assigned targets and update their positions and time spent flying
for i=1:num_UAVs
end
if ~current_targets_reached(i)
end
targets_assigned = find(current_targets_assigned(i,:));
if ~isempty(targets_assigned)
end

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Réponse acceptée

Venkatesh BalaSubburaman
Venkatesh BalaSubburaman le 19 Avr 2023
Hi,
You could look through the UAV toolbox to see the features that will help you in simulation. Scenario tooling lets you create quickly the scene with multiple UAV which can be controlled in a close loop UAV Scenario Tutorial - MATLAB & Simulink (mathworks.com). There are multiple examples in UAV Toolbox that will help you get started with simulation Get Started with UAV Toolbox — Examples (mathworks.com). Example List - MATLAB & Simulink (mathworks.com) has more example related to scenarios. Please give it a try.
Thanks
  1 commentaire
Hamid
Hamid le 19 Avr 2023
Thanks a lot Mr Venkatesh BalaSubburaman
I will follow your advice but, if you find a result similar to the result of this article, I will be very happy if you share it with me.

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