PID Simulation and RL Agent Design

Aim: Create a PID simulation with dynamic parameter changes
Aim: Implement reinforcement learning agent to operate on the same.

Installation

Install dependencies:

pip install -r requirements.txt

To run the RL agent training

python3 rl_agent/main.py

Name		Name	Last commit message	Last commit date
Latest commit History 49 Commits
rl_agent		rl_agent
.gitignore		.gitignore
First Order Plus Dead Time(FOPDT).ipynb		First Order Plus Dead Time(FOPDT).ipynb
Gain Scheduled PID Equation 2.ipynb		Gain Scheduled PID Equation 2.ipynb
Gain Schedulling PID Equation 1-v2.ipynb		Gain Schedulling PID Equation 1-v2.ipynb
ODE solution using SciPy odeint.ipynb		ODE solution using SciPy odeint.ipynb
PID Simulation.ipynb		PID Simulation.ipynb
PID_Velocity_Control.ipynb		PID_Velocity_Control.ipynb
Proportional Integral Derivative(PID) Velocity Control.ipynb		Proportional Integral Derivative(PID) Velocity Control.ipynb
Proportional Integral(PI) Control.ipynb		Proportional Integral(PI) Control.ipynb
README.md		README.md
main.py		main.py
rc_circuit.py		rc_circuit.py
rc_voltage.py		rc_voltage.py
requirements.txt		requirements.txt