{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Ackermann Kinematics model\n", "\n", "### Jacobians" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/latex": [ "$\\displaystyle \\left[\\begin{matrix}0 & 0 & \\cos{\\left(\\theta \\right)} & - v \\sin{\\left(\\theta \\right)}\\\\0 & 0 & \\sin{\\left(\\theta \\right)} & v \\cos{\\left(\\theta \\right)}\\\\0 & 0 & 0 & 0\\\\0 & 0 & \\frac{\\tan{\\left(\\delta \\right)}}{L} & 0\\end{matrix}\\right]$" ], "text/plain": [ "Matrix([\n", "[0, 0, cos(theta), -v*sin(theta)],\n", "[0, 0, sin(theta), v*cos(theta)],\n", "[0, 0, 0, 0],\n", "[0, 0, tan(delta)/L, 0]])" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle \\left[\\begin{matrix}0 & 0\\\\0 & 0\\\\1 & 0\\\\0 & \\frac{v \\left(\\tan^{2}{\\left(\\delta \\right)} + 1\\right)}{L}\\end{matrix}\\right]$" ], "text/plain": [ "Matrix([\n", "[0, 0],\n", "[0, 0],\n", "[1, 0],\n", "[0, v*(tan(delta)**2 + 1)/L]])" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "x, y, theta, v, delta, L, a = sp.symbols(\"x y theta v delta L a\")\n", "\n", "gs = sp.Matrix([[sp.cos(theta) * v], [sp.sin(theta) * v], [a], [v * sp.tan(delta) / L]])\n", "\n", "X = sp.Matrix([x, y, v, theta])\n", "\n", "# A\n", "A = gs.jacobian(X)\n", "\n", "U = sp.Matrix([a, delta])\n", "\n", "# B\n", "B = gs.jacobian(U)\n", "display(A)\n", "display(B)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Discretized and Linearized model" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/latex": [ "$\\displaystyle \\left[\\begin{matrix}1 & 0 & dt \\cos{\\left(\\theta \\right)} & - dt v \\sin{\\left(\\theta \\right)}\\\\0 & 1 & dt \\sin{\\left(\\theta \\right)} & dt v \\cos{\\left(\\theta \\right)}\\\\0 & 0 & 1 & 0\\\\0 & 0 & \\frac{dt \\tan{\\left(\\delta \\right)}}{L} & 1\\end{matrix}\\right]$" ], "text/plain": [ "Matrix([\n", "[1, 0, dt*cos(theta), -dt*v*sin(theta)],\n", "[0, 1, dt*sin(theta), dt*v*cos(theta)],\n", "[0, 0, 1, 0],\n", "[0, 0, dt*tan(delta)/L, 1]])" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle \\left[\\begin{matrix}0 & 0\\\\0 & 0\\\\dt & 0\\\\0 & \\frac{dt v \\left(\\tan^{2}{\\left(\\delta \\right)} + 1\\right)}{L}\\end{matrix}\\right]$" ], "text/plain": [ "Matrix([\n", "[ 0, 0],\n", "[ 0, 0],\n", "[dt, 0],\n", "[ 0, dt*v*(tan(delta)**2 + 1)/L]])" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle \\left[\\begin{matrix}dt \\theta v \\sin{\\left(\\theta \\right)}\\\\- dt \\theta v \\cos{\\left(\\theta \\right)}\\\\0\\\\- \\frac{\\delta dt v \\left(\\tan^{2}{\\left(\\delta \\right)} + 1\\right)}{L}\\end{matrix}\\right]$" ], "text/plain": [ "Matrix([\n", "[ dt*theta*v*sin(theta)],\n", "[ -dt*theta*v*cos(theta)],\n", "[ 0],\n", "[-delta*dt*v*(tan(delta)**2 + 1)/L]])" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "DT = sp.symbols(\"dt\")\n", "\n", "display(sp.eye(4) + A * DT)\n", "display(B * DT)\n", "display(DT * (gs - A * X - B * U))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# ADD DELAY (for real time implementation)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It is necessary to take *actuation latency* into account: so instead of using the actual state as estimated, the delay factored in using the kinematic model\n", "\n", "Starting State is :\n", "\n", "* $x_{delay} = 0.0 + v * dt$\n", "* $y_{delay} = 0.0$\n", "* $psi_{delay} = 0.0 + w * dt$\n", "* $cte_{delay} = cte + v * sin(epsi) * dt$\n", "* $epsi_{delay} = epsi - w * dt$\n", "\n", "Note that the starting position and heading is always 0; this is becouse the path is parametrized to **vehicle reference frame**" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.6" } }, "nbformat": 4, "nbformat_minor": 4 }