diff --git a/gifs/result.gif b/gifs/result.gif
index 25c64827fc7bca439ceb03108a0ce71609359bb1..4585c0b5a21a1d99c9e9e52daba5fa37890d8411 100644
Binary files a/gifs/result.gif and b/gifs/result.gif differ
diff --git a/main.ipynb b/main.ipynb
index bacbad8782fa1bee2e89d6567b191a24c013edfa..636ef621f92bbd95c441fa73fd0e474ae5e19db6 100644
--- a/main.ipynb
+++ b/main.ipynb
@@ -81,7 +81,7 @@
{
"data": {
"text/plain": [
- "f (generic function with 1 method)"
+ "dynamics (generic function with 1 method)"
]
},
"execution_count": 2,
@@ -90,7 +90,7 @@
}
],
"source": [
- "function f(z,d,y;ufun = z -> [1.1,0.0])\n",
+ "function dynamics(z,d,y;ufun = z -> [1.1,0.0])\n",
" x = z[1]\n",
" y = z[2]\n",
" ϕ = z[3]\n",
@@ -257,7 +257,7 @@
"metadata": {},
"outputs": [],
"source": [
- "ffun(u,p,t) = f(u,d,0,ufun = z -> [1.1,0.0])\n",
+ "ffun(u,p,t) = dynamics(u,d,0,ufun = z -> [1.1,0.0])\n",
"z0 = [0,0,0.2,π/4,π/4+0.8,π/4-0.8]\n",
"d = [1,1,1]\n",
"tspan = (0.0,10.0)\n",
@@ -274,70 +274,13 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "┌ Info: Precompiling GR_jll [d2c73de3-f751-5644-a686-071e5b155ba9]\n",
- "└ @ Base loading.jl:1342\n",
- "\u001b[33m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[33m\u001b[1mWarning: \u001b[22m\u001b[39mModule Cairo_jll with build ID 26801962987086 is missing from the cache.\n",
- "\u001b[33m\u001b[1m│ \u001b[22m\u001b[39mThis may mean Cairo_jll [83423d85-b0ee-5818-9007-b63ccbeb887a] does not support precompilation but is imported by a module that does.\n",
- "\u001b[33m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Base loading.jl:1030\u001b[39m\n",
- "┌ Info: Skipping precompilation since __precompile__(false). Importing GR_jll [d2c73de3-f751-5644-a686-071e5b155ba9].\n",
- "└ @ Base loading.jl:1047\n",
- "┌ Info: Precompiling GLFW_jll [0656b61e-2033-5cc2-a64a-77c0f6c09b89]\n",
- "└ @ Base loading.jl:1342\n",
- "\u001b[33m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[33m\u001b[1mWarning: \u001b[22m\u001b[39mModule Xorg_libX11_jll with build ID 26797334938147 is missing from the cache.\n",
- "\u001b[33m\u001b[1m│ \u001b[22m\u001b[39mThis may mean Xorg_libX11_jll [4f6342f7-b3d2-589e-9d20-edeb45f2b2bc] does not support precompilation but is imported by a module that does.\n",
- "\u001b[33m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Base loading.jl:1030\u001b[39m\n",
- "\u001b[33m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[33m\u001b[1mWarning: \u001b[22m\u001b[39mModule Xorg_libX11_jll with build ID 26797334938147 is missing from the cache.\n",
- "\u001b[33m\u001b[1m│ \u001b[22m\u001b[39mThis may mean Xorg_libX11_jll [4f6342f7-b3d2-589e-9d20-edeb45f2b2bc] does not support precompilation but is imported by a module that does.\n",
- "\u001b[33m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Base loading.jl:1030\u001b[39m\n",
- "┌ Info: Skipping precompilation since __precompile__(false). Importing GLFW_jll [0656b61e-2033-5cc2-a64a-77c0f6c09b89].\n",
- "└ @ Base loading.jl:1047\n",
- "┌ Info: Precompiling Libglvnd_jll [7e76a0d4-f3c7-5321-8279-8d96eeed0f29]\n",
- "└ @ Base loading.jl:1342\n",
- "\u001b[33m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[33m\u001b[1mWarning: \u001b[22m\u001b[39mModule Xorg_libX11_jll with build ID 26797334938147 is missing from the cache.\n",
- "\u001b[33m\u001b[1m│ \u001b[22m\u001b[39mThis may mean Xorg_libX11_jll [4f6342f7-b3d2-589e-9d20-edeb45f2b2bc] does not support precompilation but is imported by a module that does.\n",
- "\u001b[33m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Base loading.jl:1030\u001b[39m\n",
- "┌ Info: Skipping precompilation since __precompile__(false). Importing Libglvnd_jll [7e76a0d4-f3c7-5321-8279-8d96eeed0f29].\n",
- "└ @ Base loading.jl:1047\n",
- "┌ Info: Precompiling Xorg_libXcursor_jll [935fb764-8cf2-53bf-bb30-45bb1f8bf724]\n",
- "└ @ Base loading.jl:1342\n",
- "\u001b[33m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[33m\u001b[1mWarning: \u001b[22m\u001b[39mModule Xorg_libX11_jll with build ID 26797334938147 is missing from the cache.\n",
- "\u001b[33m\u001b[1m│ \u001b[22m\u001b[39mThis may mean Xorg_libX11_jll [4f6342f7-b3d2-589e-9d20-edeb45f2b2bc] does not support precompilation but is imported by a module that does.\n",
- "\u001b[33m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Base loading.jl:1030\u001b[39m\n",
- "\u001b[33m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[33m\u001b[1mWarning: \u001b[22m\u001b[39mModule Xorg_libX11_jll with build ID 26797334938147 is missing from the cache.\n",
- "\u001b[33m\u001b[1m│ \u001b[22m\u001b[39mThis may mean Xorg_libX11_jll [4f6342f7-b3d2-589e-9d20-edeb45f2b2bc] does not support precompilation but is imported by a module that does.\n",
- "\u001b[33m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Base loading.jl:1030\u001b[39m\n",
- "┌ Info: Skipping precompilation since __precompile__(false). Importing Xorg_libXcursor_jll [935fb764-8cf2-53bf-bb30-45bb1f8bf724].\n",
- "└ @ Base loading.jl:1047\n",
- "┌ Info: Precompiling Xorg_libXfixes_jll [d091e8ba-531a-589c-9de9-94069b037ed8]\n",
- "└ @ Base loading.jl:1342\n",
- "\u001b[33m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[33m\u001b[1mWarning: \u001b[22m\u001b[39mModule Xorg_libX11_jll with build ID 26797334938147 is missing from the cache.\n",
- "\u001b[33m\u001b[1m│ \u001b[22m\u001b[39mThis may mean Xorg_libX11_jll [4f6342f7-b3d2-589e-9d20-edeb45f2b2bc] does not support precompilation but is imported by a module that does.\n",
- "\u001b[33m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Base loading.jl:1030\u001b[39m\n",
- "┌ Info: Skipping precompilation since __precompile__(false). Importing Xorg_libXfixes_jll [d091e8ba-531a-589c-9de9-94069b037ed8].\n",
- "└ @ Base loading.jl:1047\n",
- "┌ Info: Precompiling Xorg_libXi_jll [a51aa0fd-4e3c-5386-b890-e753decda492]\n",
- "└ @ Base loading.jl:1342\n",
- "\u001b[33m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[33m\u001b[1mWarning: \u001b[22m\u001b[39mModule Xorg_libXfixes_jll with build ID 12794537529927 is missing from the cache.\n",
- "\u001b[33m\u001b[1m│ \u001b[22m\u001b[39mThis may mean Xorg_libXfixes_jll [d091e8ba-531a-589c-9de9-94069b037ed8] does not support precompilation but is imported by a module that does.\n",
- "\u001b[33m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Base loading.jl:1030\u001b[39m\n",
- "┌ Info: Skipping precompilation since __precompile__(false). Importing Xorg_libXi_jll [a51aa0fd-4e3c-5386-b890-e753decda492].\n",
- "└ @ Base loading.jl:1047\n",
- "┌ Info: Precompiling Xorg_libXrandr_jll [ec84b674-ba8e-5d96-8ba1-2a689ba10484]\n",
- "└ @ Base loading.jl:1342\n",
- "\u001b[33m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[33m\u001b[1mWarning: \u001b[22m\u001b[39mModule Xorg_libXrender_jll with build ID 26797433637193 is missing from the cache.\n",
- "\u001b[33m\u001b[1m│ \u001b[22m\u001b[39mThis may mean Xorg_libXrender_jll [ea2f1a96-1ddc-540d-b46f-429655e07cfa] does not support precompilation but is imported by a module that does.\n",
- "\u001b[33m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Base loading.jl:1030\u001b[39m\n",
- "┌ Info: Skipping precompilation since __precompile__(false). Importing Xorg_libXrandr_jll [ec84b674-ba8e-5d96-8ba1-2a689ba10484].\n",
- "└ @ Base loading.jl:1047\n",
- "┌ Warning: Replacing module `Libglvnd_jll`\n",
- "└ @ Base loading.jl:959\n",
"┌ Info: Saved animation to \n",
"│ fn = /local/home/felix/Courses/NonLinear/nonlinear-car-parking/gifs/trailergif_test.gif\n",
"└ @ Plots /local/home/felix/.julia/packages/Plots/9C6z9/src/animation.jl:114\n"
@@ -352,7 +295,7 @@
"Plots.AnimatedGif(\"/local/home/felix/Courses/NonLinear/nonlinear-car-parking/gifs/trailergif_test.gif\")"
]
},
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -365,12 +308,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "# Finding a $C_1$"
+ "# Finding a $C_n$"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
@@ -384,7 +327,7 @@
" 0.0"
]
},
- "execution_count": 7,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -407,7 +350,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
@@ -416,7 +359,7 @@
"der (generic function with 1 method)"
]
},
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -427,7 +370,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
@@ -436,7 +379,7 @@
"polval (generic function with 1 method)"
]
},
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -453,7 +396,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
@@ -462,105 +405,105 @@
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"<defs>\n",
- " <clipPath id=\"clip890\">\n",
+ " <clipPath id=\"clip430\">\n",
" <rect x=\"0\" y=\"0\" width=\"2400\" height=\"1600\"/>\n",
" </clipPath>\n",
"</defs>\n",
- "<path clip-path=\"url(#clip890)\" d=\"\n",
+ "<path clip-path=\"url(#clip430)\" d=\"\n",
"M0 1600 L2400 1600 L2400 0 L0 0 Z\n",
" \" fill=\"#ffffff\" fill-rule=\"evenodd\" fill-opacity=\"1\"/>\n",
"<defs>\n",
- " <clipPath id=\"clip891\">\n",
+ " <clipPath id=\"clip431\">\n",
" <rect x=\"480\" y=\"0\" width=\"1681\" height=\"1600\"/>\n",
" </clipPath>\n",
"</defs>\n",
- "<path clip-path=\"url(#clip890)\" d=\"\n",
+ "<path clip-path=\"url(#clip430)\" d=\"\n",
"M184.191 1486.45 L2352.76 1486.45 L2352.76 47.2441 L184.191 47.2441 Z\n",
" \" fill=\"#ffffff\" fill-rule=\"evenodd\" fill-opacity=\"1\"/>\n",
"<defs>\n",
- " <clipPath id=\"clip892\">\n",
+ " <clipPath id=\"clip432\">\n",
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},
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
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}
@@ -1214,16 +1157,16 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "#62 (generic function with 1 method)"
+ "#43 (generic function with 1 method)"
]
},
- "execution_count": 20,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -1257,7 +1200,7 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
@@ -1266,7 +1209,7 @@
"u2 (generic function with 1 method)"
]
},
- "execution_count": 21,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
@@ -1290,7 +1233,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
@@ -1299,7 +1242,7 @@
"xn (generic function with 1 method)"
]
},
- "execution_count": 22,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -1317,7 +1260,7 @@
},
{
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- "execution_count": 23,
+ "execution_count": 15,
"metadata": {},
"outputs": [
{
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" 1979.31,458.098 2123.88,458.098 \n",
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" 1979.31,613.618 2123.88,613.618 \n",
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" 1979.31,665.458 2123.88,665.458 \n",
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" 1979.31,717.298 2123.88,717.298 \n",
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]
},
- "execution_count": 23,
+ "execution_count": 15,
"metadata": {},
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}
@@ -6048,7 +5991,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 16,
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{
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},
- "execution_count": 24,
+ "execution_count": 16,
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}
@@ -6475,7 +6418,7 @@
},
{
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- "execution_count": 25,
+ "execution_count": 17,
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},
- "execution_count": 25,
+ "execution_count": 17,
"metadata": {},
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}
@@ -6915,7 +6858,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
@@ -6926,7 +6869,7 @@
"\n",
"d = [1,1,1]\n",
"\n",
- "ffun(u,p,t) = f(u,d,0,ufun = u -> [u1(xn(u)),u2(xn(u))])\n",
+ "ffun(u,p,t) = dynamics(u,d,0,ufun = u -> [u1(xn(u)),u2(xn(u))])\n",
"z0 = [x1 + sum(d[i]*cos(θ1) for i = 1:n) , y1 + sum(d[i]*sin(θ1) for i = 1:n),0,θ1,θ1,θ1]\n",
"d = [1,1,1]\n",
"tspan = (0.0,11.1)\n",
@@ -6936,7 +6879,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 21,
"metadata": {},
"outputs": [
{
@@ -6957,7 +6900,7 @@
"Plots.AnimatedGif(\"/local/home/felix/Courses/NonLinear/nonlinear-car-parking/gifs/result.gif\")"
]
},
- "execution_count": 28,
+ "execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
@@ -6968,7 +6911,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 22,
"metadata": {},
"outputs": [
{
@@ -6977,127 +6920,119 @@
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},
- "execution_count": 18,
+ "execution_count": 22,
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}
@@ -7109,7 +7044,7 @@
},
{
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+ "execution_count": 23,
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},
- "execution_count": 19,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
@@ -7250,55 +7183,344 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 94,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "polval (generic function with 2 methods)"
+ ]
+ },
+ "execution_count": 94,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Helpfunction for derivatives\n",
+ "der(x,p,k) = p >= k ? factorial(p)/factorial(p-k)*x^(p-k) : 0.0\n",
+ "\n",
+ "# Calculate initial state for simulation\n",
+ "initial_state(x1,y1,θ1,d) = [ \n",
+ " [x1 + sum(d[i]*cos(θ1) for i = 1:size(d,1)-1) ; y1 + sum(d[i]*sin(θ1) for i = 1:size(d,1)-1) ; 0 ; θ1] ; \n",
+ " [θ1 for i = 1:size(d,1)-1]\n",
+ "]\n",
+ "\n",
+ "# Calculate specific polynomial parameters given starting point, end point and number of carts\n",
+ "function polyparams(x1,y1,θ1,x2,y2,θ2,n)\n",
+ " B = [y1;tan(θ1);zeros(n+1,1);y2;tan(θ2);zeros(n+1,1)]\n",
+ " A = [\n",
+ " [ der(x1,p,k) for k = 0:n+2,p ∈ range(2*(n+3)-1,0,step=-1)] ; \n",
+ " [ der(x2,p,k) for k = 0:n+2,p ∈ range(2*(n+3)-1,0,step=-1)]\n",
+ " ]\n",
+ " pars = A\\B\n",
+ "end\n",
+ "\n",
+ "# Function for evaluating polynomial with parameters p at given x\n",
+ "polval(x,p) = ([x^(size(p,1)-i) for i = 1:size(p,1)]'*p)[1]\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 171,
"metadata": {},
"outputs": [],
+ "source": [
+ "d = [2.0,3.0,1.0,1.0,2.0]\n",
+ "n = size(d,1)-1\n",
+ "\n",
+ "x1 = 15\n",
+ "y1 = 1\n",
+ "θ1 = π/5\n",
+ "\n",
+ "x2 = -15\n",
+ "y2 = 0\n",
+ "θ2 = 0\n",
+ "\n",
+ "z0 = initial_state(x1,y1,θ1,d)\n",
+ "\n",
+ "tol = 1e-1\n",
+ "c = sign(x2-x1)*4.0;"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 172,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "#910 (generic function with 1 method)"
+ ]
+ },
+ "execution_count": 172,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Solve for polynomial parameters that fit our curve\n",
+ "p = polyparams(x1,y1,θ1,x2,y2,θ2,n)\n",
+ "\n",
+ "# Define curve function and derivatives\n",
+ "f(x) = polval(x,p)\n",
+ "df = x -> ForwardDiff.derivative(f,x)\n",
+ "ddf = x -> ForwardDiff.derivative(df,x)\n",
+ "\n",
+ "# Recursively calculate kappa-functions\n",
+ "ds = Dict()\n",
+ "ds[n] = x -> sqrt(1 + df(x)^2)\n",
+ "k = Dict()\n",
+ "k[n] = x -> ddf(x)/((1+df(x)^2)^(3/2))\n",
+ "dk = Dict()\n",
+ "dk[n] = x -> ForwardDiff.derivative(k[n],x)\n",
+ "\n",
+ "for i ∈ range(n-1,0,step=-1)\n",
+ " ds[i] = x -> sqrt(1+d[i+2]^2*k[i+1](x)^2)\n",
+ " k[i] = x -> (k[i+1](x) + d[i+2]/ds[i](x)^2*dk[i+1](x)/prod(ds[j](x) for j =i+1:n))/ds[i](x)\n",
+ " dk[i] = x -> ForwardDiff.derivative(k[i],x)\n",
+ "end\n",
+ "\n",
+ "# Define base speed of last wagon, dsn/dt\n",
+ "# If we are within a tolerance close to finishing position, we stop.\n",
+ "ds2dt(x) = abs(x-x2) > tol ? c : 0\n",
+ "\n",
+ "# Define control functions\n",
+ "u1(x) = prod(ds[i](x) for i = 0:n-1)*ds2dt(x)\n",
+ "u2(x) = d[1]/(1 + d[1]^2*k[0](x)^2)*dk[0](x)*ds2dt(x)/ds[n](x)\n",
+ "\n",
+ "# Help-function for finding position of last trailer:\n",
+ "xn(z) = z[1] - sum(d[i]*cos(z[3+i]) for i = 2:size(z,1)-3)\n",
+ "\n",
+ "# Combined control signal, based on current state\n",
+ "utot = z -> [u1(xn(z)),u2(xn(z))]\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 174,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "tspan = (0.0,11.5)\n",
+ "sim(z,p,t) = dynamics(z,d,0,ufun = z -> utot(z))\n",
+ "prob = ODEProblem(sim,z0,tspan)\n",
+ "sol = solve(prob,Tsit5(),reltol=1e-8,abstol=1e-8);"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 175,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "┌ Info: Saved animation to \n",
+ "│ fn = /local/home/felix/Courses/NonLinear/nonlinear-car-parking/gifs/result.gif\n",
+ "└ @ Plots /local/home/felix/.julia/packages/Plots/9C6z9/src/animation.jl:114\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
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\" />"
+ ],
+ "text/plain": [
+ "Plots.AnimatedGif(\"/local/home/felix/Courses/NonLinear/nonlinear-car-parking/gifs/result.gif\")"
+ ]
+ },
+ "execution_count": 175,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "trailergif(sol.u, sol.t, d, \"gifs/result.gif\",xrange=30,yrange=15, fps = 5)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Cleanest..."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 178,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "polval (generic function with 2 methods)"
+ ]
+ },
+ "execution_count": 178,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# Helpfunction for derivatives\n",
"der(x,p,k) = p >= k ? factorial(p)/factorial(p-k)*x^(p-k) : 0.0\n",
"\n",
- "# Function for calculating control signals and starting configuration\n",
- "function simulation_config(x1,y1,θ1,x2,y2,θ2,d;c=4.0)\n",
- " n = size(d,1)-1\n",
+ "# Calculate initial state for simulation\n",
+ "initial_state(x1,y1,θ1,d) = [ \n",
+ " [x1 + sum(d[i]*cos(θ1) for i = 1:size(d,1)-1) ; y1 + sum(d[i]*sin(θ1) for i = 1:size(d,1)-1) ; 0 ; θ1] ; \n",
+ " [θ1 for i = 1:size(d,1)-1]\n",
+ "]\n",
+ "\n",
+ "# Calculate specific polynomial parameters given starting point, end point and number of carts\n",
+ "function polyparams(x1,y1,θ1,x2,y2,θ2,n)\n",
" B = [y1;tan(θ1);zeros(n+1,1);y2;tan(θ2);zeros(n+1,1)]\n",
" A = [\n",
" [ der(x1,p,k) for k = 0:n+2,p ∈ range(2*(n+3)-1,0,step=-1)] ; \n",
" [ der(x2,p,k) for k = 0:n+2,p ∈ range(2*(n+3)-1,0,step=-1)]\n",
" ]\n",
" pars = A\\B\n",
- " f(x) = ([x^(size(pars,1)-i) for i = 1:size(p,1)]'*pars)[1]\n",
+ "end\n",
+ "\n",
+ "# Function for evaluating polynomial with parameters p at given x\n",
+ "polval(x,p) = ([x^(size(p,1)-i) for i = 1:size(p,1)]'*p)[1]\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 179,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "simulate (generic function with 1 method)"
+ ]
+ },
+ "execution_count": 179,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "function simulate(A,B,d,tspan;stoptol = 1e-1,c = sign(B[1]-A[1])*4.0)\n",
+ " # Solve for polynomial parameters that fit our curve\n",
+ " x1,y1,θ1 = A\n",
+ " x2,y2,θ2 = B\n",
+ " n = size(d,1)-1\n",
+ " \n",
+ " p = polyparams(x1,y1,θ1,x2,y2,θ2,n)\n",
+ "\n",
+ " # Define curve function and derivatives\n",
+ " f(x) = polval(x,p)\n",
" df = x -> ForwardDiff.derivative(f,x)\n",
" ddf = x -> ForwardDiff.derivative(df,x)\n",
- " k2(x) = ddf(x)/((1+df(x)^2)^(3/2))\n",
- " dk2 = x -> ForwardDiff.derivative(k2,x)\n",
- " ds2dx(x) = sqrt(1 + df(x)^2)\n",
- " k1(x) = (k2(x) + d[3]/(1+d[3]^2*k2(x)^2)*dk2(x)/ds2dx(x))/sqrt(1+d[3]^2*k2(x)^2)\n",
- " dk1 = x -> ForwardDiff.derivative(k1,x)\n",
- " ds1ds2(x) = sqrt(1+d[3]^2*k2(x)^2)\n",
- " k0(x) = (k1(x) + d[2]/(1+d[2]^2*k1(x)^2)*dk1(x)/ds1ds2(x)/ds2dx(x))/sqrt(1+d[2]^2*k1(x)^2)\n",
- " ds0ds1(x) = sqrt(1+d[2]^2*k1(x)^2)\n",
- " dk0 = x -> ForwardDiff.derivative(k0,x)\n",
+ "\n",
+ " # Recursively calculate kappa-functions\n",
+ " ds = Dict()\n",
+ " ds[n] = x -> sqrt(1 + df(x)^2)\n",
+ " k = Dict()\n",
+ " k[n] = x -> ddf(x)/((1+df(x)^2)^(3/2))\n",
+ " dk = Dict()\n",
+ " dk[n] = x -> ForwardDiff.derivative(k[n],x)\n",
+ "\n",
+ " for i ∈ range(n-1,0,step=-1)\n",
+ " ds[i] = x -> sqrt(1+d[i+2]^2*k[i+1](x)^2)\n",
+ " k[i] = x -> (k[i+1](x) + d[i+2]/ds[i](x)^2*dk[i+1](x)/prod(ds[j](x) for j =i+1:n))/ds[i](x)\n",
+ " dk[i] = x -> ForwardDiff.derivative(k[i],x)\n",
+ " end\n",
+ "\n",
+ " # Define base speed of last wagon, dsn/dt\n",
+ " # If we are within a tolerance close to finishing position, we stop.\n",
+ " ds2dt(x) = abs(x-x2) > stoptol ? c : 0\n",
+ "\n",
+ " # Define control functions\n",
+ " u1(x) = prod(ds[i](x) for i = 0:n-1)*ds2dt(x)\n",
+ " u2(x) = d[1]/(1 + d[1]^2*k[0](x)^2)*dk[0](x)*ds2dt(x)/ds[n](x)\n",
+ "\n",
+ " # Help-function for finding position of last trailer:\n",
+ " xn(z) = z[1] - sum(d[i]*cos(z[3+i]) for i = 2:size(z,1)-3)\n",
+ "\n",
+ " # Combined control signal, based on current state\n",
+ " utot = z -> [u1(xn(z)),u2(xn(z))]\n",
" \n",
+ " # Simulate\n",
+ " z0 = initial_state(x1,y1,θ1,d)\n",
+ " sim(z,p,t) = dynamics(z,d,0,ufun = z -> utot(z))\n",
+ " prob = ODEProblem(sim,z0,tspan)\n",
+ " sol = solve(prob,Tsit5(),reltol=1e-8,abstol=1e-8)\n",
" \n",
+ " return sol.u,sol.t\n",
"end"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 208,
"metadata": {},
"outputs": [],
"source": [
"d = [1.0,1.0,1.0]\n",
+ "n = size(d,1)-1\n",
"\n",
"x1 = -15\n",
"y1 = 5\n",
"θ1 = π/5\n",
+ "A = [x1,y1,θ1]\n",
"\n",
"x2 = 15\n",
"y2 = 0\n",
- "θ2 = 0"
+ "θ2 = 0\n",
+ "B = [x2,y2,θ2]\n",
+ "\n",
+ "x3 = -15\n",
+ "y3 = -5\n",
+ "θ3 = 0\n",
+ "C = [x3,y3,θ3]\n",
+ "\n",
+ "tA,tB,tC = 0.0, 10.0, 20.0\n",
+ "tspan1 = (tA,tB)\n",
+ "tspan2 = (tB,tC);"
]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 209,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "z1,t1 = simulate(A,B,d,tspan1);"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 210,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "z2,t2 = simulate(B,C,d,tspan2);"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "z = [z1 ; z2]\n",
+ "t = [t1 ; t2]\n",
+ "trailergif(z, t, d, \"gifs/result.gif\",xrange=30,yrange=15, fps = 10)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {