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-rw-r--r--uav.m36
-rw-r--r--uav_model.m18
-rw-r--r--uav_sim_step_hinf.m2
3 files changed, 39 insertions, 17 deletions
diff --git a/uav.m b/uav.m
index c646de2..ec84682 100644
--- a/uav.m
+++ b/uav.m
@@ -8,16 +8,36 @@
clear; clc; close all; s = tf('s');
-fprintf('Generating system parameters...\n')
-params = uav_params();
-ctrl = struct();
-
% Flags to speed up running for debugging
do_plots = true;
do_lqr = false; % unused
-do_hinf = false; % midterm
+do_hinf = true; % midterm
do_musyn = true; % endterm
+fprintf('Controller synthesis for ducted fan VTOL micro-UAV\n')
+fprintf('Will do:\n')
+if do_plots
+ fprintf(' - Produce plots\n')
+end
+if do_lqr
+ fprintf(' - LQR synthesis\n')
+end
+if do_hinf
+ fprintf(' - H-infinity synthesis\n')
+end
+if do_musyn
+ fprintf(' - Mu synthesis\n')
+end
+
+% Synthesized controllers will be stored here
+ctrl = struct();
+
+% ------------------------------------------------------------------------
+%% Define system parameters
+
+fprintf('Generating system parameters...\n')
+params = uav_params();
+
% ------------------------------------------------------------------------
%% Define performance requirements
@@ -59,10 +79,10 @@ if do_hinf
% Get nominal system without uncertainty (for lower LFT)
P_nom = minreal(P([idx.OutputError; idx.OutputNominal], ...
- [idx.InputExogenous; idx.InputNominal]));
+ [idx.InputExogenous; idx.InputNominal]), [], false);
- nmeas = max(size(idx.OutputNominal)); % size of y
- nctrl = max(size(idx.InputNominal)); % size of u
+ nmeas = model.uncertain.Ny;
+ nctrl = model.uncertain.Nu;
hinfopt = hinfsynOptions('Display', 'on', 'Method', 'RIC', ...
'AutoScale', 'off', 'RelTol', 1e-3);
diff --git a/uav_model.m b/uav_model.m
index 3b691f4..0af0818 100644
--- a/uav_model.m
+++ b/uav_model.m
@@ -223,7 +223,7 @@ D = zeros(12, 5);
% Create state space object
T = params.measurements.SensorFusionDelay;
n = params.linearization.PadeApproxOrder;
-sys = minreal(pade(ss(A, B, C, D, 'OutputDelay', T), n));
+sys = minreal(pade(ss(A, B, C, D, 'OutputDelay', T), n), [], false); % slient
% Save linearized dynamics (numerical)
model.linear = struct(...
@@ -241,7 +241,7 @@ eigvals = eig(A);
% Check system controllability / stabilizability
Wc = ctrb(sys);
if rank(Wc) < nx
- fprintf('Linearized system has %d uncontrollable states!\n', ...
+ fprintf(' - Linearized system has %d uncontrollable states!\n', ...
(nx - rank(Wc)));
% Is the system at least stabilizable?
@@ -257,17 +257,17 @@ if rank(Wc) < nx
end
end
if unstabilizable > 0
- fprintf('Linearized system has %d unstabilizable modes!\n', ...
+ fprintf(' - Linearized system has %d unstabilizable modes!\n', ...
unstabilizable);
else
- fprintf('However, it is stabilizable.\n');
+ fprintf(' However, it is stabilizable.\n');
end
end
% Check system observability / detectability
Wo = obsv(sys);
if rank(Wo) < nx
- fprintf('Linearized system has %d unobservable states!\n', ...
+ fprintf(' - Linearized system has %d unobservable states!\n', ...
(nx - rank(Wo)));
% is the system at least detectable?
undetectable = 0;
@@ -281,10 +281,10 @@ if rank(Wo) < nx
end
end
if undetectable > 0
- fprintf('Linearized system has %d undetectable modes!\n', ...
+ fprintf(' - Linearized system has %d undetectable modes!\n', ...
undetectable);
else
- fprintf('However, it is detectable.\n')
+ fprintf(' However, it is detectable.\n')
end
end
@@ -367,10 +367,12 @@ idx = model.uncertain.index;
% Number of inputs
model.uncertain.Nv = max(size(idx.InputUncertain));
-model.uncertain.Nr = max(size(idx.InputReference));
model.uncertain.Nw = max(size(idx.InputExogenous));
model.uncertain.Nu = max(size(idx.InputNominal));
+model.uncertain.Nr = max(size(idx.InputReference));
+% size of noise is (Nw - Nr)
+
% Number of outputs
model.uncertain.Nz = max(size(idx.OutputUncertain));
model.uncertain.Ne = max(size(idx.OutputError));
diff --git a/uav_sim_step_hinf.m b/uav_sim_step_hinf.m
index 71510b8..5e448a1 100644
--- a/uav_sim_step_hinf.m
+++ b/uav_sim_step_hinf.m
@@ -20,7 +20,7 @@ P_nom_clp = minreal(usys_clp(...
[model.uncertain.index.OutputError;
model.uncertain.index.OutputNominal;
model.uncertain.index.OutputPlots], ...
- model.uncertain.index.InputExogenous));
+ model.uncertain.index.InputExogenous), [], false);
% Indices for exogenous inputs
Iwwind = (1:3)';