diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..43f4b6f --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +venv/ +.venv/ diff --git a/README.md b/README.md new file mode 100644 index 0000000..b8c78ec --- /dev/null +++ b/README.md @@ -0,0 +1,15 @@ +# A-Team Hardware Analysis Repository + +This repository contains software and artifacts the team uses to make models and decisions about hardware design and co-design with other systems. + +# First Time Python Setup + +1. Install python 3.10. +2. make a virtual env `python3 -m venv .venv` +3. activate the virtual environment +4. install poetry `pip install poetry` + +# Use After First Time Setup + +1. active the virtual environment +2. `poetry run python ` diff --git a/motor_models/df45_50W_model.py b/motor_models/df45_50W_model.py new file mode 100644 index 0000000..3a9caa6 --- /dev/null +++ b/motor_models/df45_50W_model.py @@ -0,0 +1,37 @@ +#!/usr/bin/env python3 + +import matplotlib.pyplot as plt +from scipy import stats + +########################### +# Known Motor Constants # +########################### + +nanotec_df45_50W_rated_torque_Nm = 0.084 +# nanotec_df45_50W_torque_data_points_Nm = [0.011, 0.027, 0.048, 0.060, 0.081, 0.084, 0.111, 0.271, 0.376, 0.459, 0.481 ] +# nanotec_df45_50W_vel_data_points_RPM = [6065, 5781, 5518, 5385, 5174, 5140, 4840, 3017, 2011, 1017, 544 ] +# nanotec_df45_50W_current_consumption_A = [0.505, 0.797, 1.340, 1.690, 2.260, -1, 3.060, 7.150, 10.460, 13.470, 13.940] +# exclude 0.084 data point because for some reason data is incomplete there +nanotec_df45_50W_torque_data_points_Nm = [0.011, 0.027, 0.048, 0.060, 0.081, 0.111, 0.271, 0.376, 0.459, 0.481 ] +nanotec_df45_50W_vel_data_points_RPM = [6065, 5781, 5518, 5385, 5174, 4840, 3017, 2011, 1017, 544 ] +nanotec_df45_50W_current_consumption_A = [0.505, 0.797, 1.340, 1.690, 2.260, 3.060, 7.150, 10.460, 13.470, 13.940] + +torques = nanotec_df45_50W_torque_data_points_Nm +currents = nanotec_df45_50W_current_consumption_A + +m_t2c, b_t2c, r_value_t2c, p_value_t2c, std_err_t2c = stats.linregress(torques, currents) +m_c2t, b_c2t, r_value_c2t, p_value_c2t, std_err_c2t = stats.linregress(currents, torques) + +m_t2c = round(m_t2c, 5) +b_t2c = round(b_t2c, 5) +r_value_t2c = round(r_value_t2c, 5) +m_c2t = round(m_c2t, 5) +b_c2t = round(b_c2t, 5) +r_value_c2t = round(r_value_c2t, 5) + +print("Units: Current (A), Torque (nM)") +print(f"regression for torque to current: I = {m_t2c}*tau + {b_t2c}") 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