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https://github.com/ME-561-W20-Quadcopter-Project/Quadcopter-Control.git
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Goal 3 working now. Need to decide if we're tuning different gains based on goals or if we are tuning some global gains for any goal.
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@@ -65,12 +65,12 @@ C = [1 0 0 0 0 0 0 0 0 0 0 0;
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D = zeros(6,4);
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continuous_system = ss(A, B, C, D);
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continuous = ss(A, B, C, D);
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T_s = 0.05;
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discrete = c2d(continuous_system, T_s);
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discrete = c2d(continuous, T_s);
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%Check if this works
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impulse(discrete, 0:T_s:1)
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impulse(discrete, 0:T_s:1);
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%We should see that U1 gets us only translation in z, U2 couples Y2 and Y4,
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%U3 couples Y1 and Y5, and U4 gets us Y6
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@@ -86,12 +86,12 @@ x_0_up = [0, 0, -1, ...
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x_0_pitch = [0, 0, 0, ...
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0, 0, 0, ...
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10, 0, 0, ...
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0, 0, 0]'; %Pitch of 5 degrees
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0, 0, 0]'; %Pitch of 10 degrees
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x_0_roll = [0, 0, 0, ...
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0, 0, 0, ...
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0, 10, 0, ...
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0, 0, 0]'; %Roll of 5 degrees
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0, 0, 0]'; %Roll of 10 degrees
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%Goal 3: Move from position (0,0,0) to within 5 cm of (1,1,1) within 5 seconds.
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x_0_trans = [-1, -1, -1, ...
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@@ -100,12 +100,12 @@ x_0_trans = [-1, -1, -1, ...
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0, 0, 0]'; %Redefine origin!
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%Define Q and R for the cost function. Begin with nominal ones for all.
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Q = diag([1, 1, 1, ... % x, y, z
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1, 1, 1, ... % x', y', z'
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1, 1, 1, ... % roll, pitch, yaw
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Q = diag([1000, 1000, 1000, ... % x, y, z
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1, 1, 100, ... % x', y', z'
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100, 100, 1, ... % roll, pitch, yaw
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1, 1, 1]); % roll', pitch', yaw'
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R = diag([10, 6000, 6000, 1]); % upward force, pitch torque, roll torque, yaw torque
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R = diag([10, 20, 20, 1]); % upward force, pitch torque, roll torque, yaw torque
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%% Finite-Time Horizon LQR for Goal 1
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%Calculate number of timesteps.
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@@ -116,14 +116,15 @@ nSteps = length(tSpan);
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[K, P] = LQR_LTI(discrete.A, discrete.B, Q, R, nSteps);
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%Propagate
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[ulqr, xlqr] = propagate(nInputs, nStates, nSteps, x_0_up, K, A, B);
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[ulqr, xlqr] = propagate(nInputs, nStates, nSteps, x_0_up, K, discrete.A, discrete.B);
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xlqr(3,:) = xlqr(3,:) + 1;
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%Plot
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plot_states(xlqr, tSpan);
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%% Finite-Time Horizon LQR for Goal 2
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%Calculate number of timesteps.
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tSpan = 0:T_s:0.2;
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tSpan = 0:T_s:2;
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nSteps = length(tSpan);
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%Determine gains
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@@ -131,14 +132,14 @@ nSteps = length(tSpan);
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%Pitch Goal
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%Propagate
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[ulqr, xlqr] = propagate(nInputs, nStates, nSteps, x_0_pitch, K, A, B);
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[ulqr, xlqr] = propagate(nInputs, nStates, nSteps, x_0_pitch, K, discrete.A, discrete.B);
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%Plot
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plot_states(xlqr, tSpan);
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%Roll Goal
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%Propagate
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[ulqr, xlqr] = propagate(nInputs, nStates, nSteps, x_0_roll, K, A, B);
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[ulqr, xlqr] = propagate(nInputs, nStates, nSteps, x_0_roll, K, discrete.A, discrete.B);
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%Plot
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plot_states(xlqr, tSpan);
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@@ -154,7 +155,8 @@ nSteps = length(tSpan);
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%Pitch Goal
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%Propagate
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[ulqr, xlqr] = propagate(nInputs, nStates, nSteps, x_0_trans, K, A, B);
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[ulqr, xlqr] = propagate(nInputs, nStates, nSteps, x_0_trans, K, discrete.A, discrete.B);
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xlqr(1:3,:) = xlqr(1:3,:) + 1;
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%Plot
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plot_states(xlqr, tSpan);
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@@ -192,7 +194,7 @@ end
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function plot_states(xlqr, tSpan)
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figure();
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subplot(1, 2, 1);
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plot(tSpan, xlqr(1, :), '-r');
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plot(tSpan, xlqr(1, :), '-r', 'LineWidth', 2);
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hold on;
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plot(tSpan, xlqr(2, :), '-g');
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plot(tSpan, xlqr(3, :), '-b');
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@@ -216,4 +218,4 @@ function plot_states(xlqr, tSpan)
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title("Angular Displacements(-) and Velocities(--)");
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xlabel("Time(s)");
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ylabel("Displacement (deg)");
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end
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end
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