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6 | 6 | "source": [ |
7 | 7 | "# Model predictive speed and steering control\n", |
8 | 8 | "\n", |
| 9 | + "code:\n", |
| 10 | + "\n", |
9 | 11 | "https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/model_predictive_speed_and_steer_control/model_predictive_speed_and_steer_control.py\n", |
10 | 12 | "\n", |
11 | 13 | "This is a path tracking simulation using model predictive control (MPC)\n", |
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17 | 19 | "cell_type": "markdown", |
18 | 20 | "metadata": {}, |
19 | 21 | "source": [ |
20 | | - "# MPC modeling" |
| 22 | + "# MPC modeling\n", |
| 23 | + "\n", |
| 24 | + "State vector is:\n", |
| 25 | + "$$ z = [x, y, v,\\phi]$$ x: x-position, y:y-position, v:velocity, φ: yaw angle\n", |
| 26 | + "\n", |
| 27 | + "Input vector is:\n", |
| 28 | + "$$ u = [a, \\delta]$$ a: accellation, δ: steering angle\n", |
| 29 | + "\n" |
| 30 | + ] |
| 31 | + }, |
| 32 | + { |
| 33 | + "cell_type": "markdown", |
| 34 | + "metadata": {}, |
| 35 | + "source": [ |
| 36 | + "The MPC cotroller minimize this cost function for path tracking:\n", |
| 37 | + "\n", |
| 38 | + "$$min\\ Q_f(z_{T,ref}-z_{T})^2+Q\\Sigma({z_{t,ref}-z_{t}})^2+R\\Sigma{u_t}^2+R_d\\Sigma({u_{t+1}-u_{t}})^2$$\n", |
| 39 | + "\n", |
| 40 | + "z_ref come from target path and speed." |
| 41 | + ] |
| 42 | + }, |
| 43 | + { |
| 44 | + "cell_type": "markdown", |
| 45 | + "metadata": {}, |
| 46 | + "source": [ |
| 47 | + "subject to:\n", |
| 48 | + "- Linearlied vehicle model\n", |
| 49 | + "$$z_{t+1}=Az_t+Bu+C$$\n", |
| 50 | + "- Maximum steering speed\n", |
| 51 | + "$$|u_{t+1}-u_{t}|<du_{max}$$\n", |
| 52 | + "- Maximum steering angle\n", |
| 53 | + "$$|u_{t}|<u_{max}$$\n", |
| 54 | + "- Initial state\n", |
| 55 | + "$$z_0 = z_{0,ob}$$\n", |
| 56 | + "- Maximum and minimum speed\n", |
| 57 | + "$$v_{min} < v_t < v_{max}$$\n", |
| 58 | + "- Maximum and minimum input\n", |
| 59 | + "$$u_{min} < u_t < u_{max}$$\n" |
| 60 | + ] |
| 61 | + }, |
| 62 | + { |
| 63 | + "cell_type": "markdown", |
| 64 | + "metadata": {}, |
| 65 | + "source": [ |
| 66 | + "This is implemented at \n", |
| 67 | + "https://github.com/AtsushiSakai/PythonRobotics/blob/f51a73f47cb922a12659f8ce2d544c347a2a8156/PathTracking/model_predictive_speed_and_steer_control/model_predictive_speed_and_steer_control.py#L247-L301" |
21 | 68 | ] |
22 | 69 | }, |
23 | 70 | { |
|
26 | 73 | "source": [ |
27 | 74 | "# Vehicle model linearization\n", |
28 | 75 | "\n", |
29 | | - "State vector is:\n", |
30 | | - "$$ z = [x, y, v,\\phi]$$ x: x-position, y:y-position, v:velocity, φ: yaw angle\n", |
31 | 76 | "\n", |
32 | | - "Input vector is:\n", |
33 | | - "$$ u = [a, \\delta]$$ a: accellation, δ: steering angle\n", |
34 | 77 | "\n", |
35 | 78 | "Vehicle model is \n", |
36 | 79 | "$$ \\dot{x} = vcos(\\phi)$$\n", |
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