added initial motor model and env setup for nanotec df45

.gitignore

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+venv/
+.venv/

README.md

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+# 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 <file>`

motor_models/df45_50W_model.py

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+#!/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}")
+print(f"regression for current to torque: tau = {m_c2t}*I   + {b_c2t}")
+
+
+