Installation

Requirements

The Standard Process Control Library requires Python 3.8 or later and the following dependencies:

Core Dependencies

numpy (>= 1.20.0) - Numerical computing
scipy (>= 1.7.0) - Scientific computing and optimization
matplotlib (>= 3.3.0) - Plotting and visualization

Optional Dependencies

pyomo (>= 6.0.0) - Optimization modeling (for advanced optimization features)
control (>= 0.9.0) - Control systems library (for additional transfer function methods)

Installation Methods

From Source (Recommended)

Clone or download the library files
Navigate to the library directory
Install dependencies:
```
pip install -r requirements.txt
```
Install the library in development mode:
```
pip install -e .
```

Direct Installation

If the library is packaged, you can install directly:

pip install sproclib

Virtual Environment (Recommended)

It’s recommended to use a virtual environment:

# Create virtual environment
python -m venv process_control_env

# Activate (Windows)
process_control_env\\Scripts\\activate

# Activate (Linux/Mac)
source process_control_env/bin/activate

# Install the library
pip install -r requirements.txt

Verification

Test your installation by running:

python -c "from process_control import PIDController; print('Installation successful!')"

Or run the test suite:

python test_library.py

Troubleshooting

Common Issues

Import Error: No module named ‘process_control’: Make sure you’re in the correct directory or have installed the library properly.
Missing dependencies: Install all required packages: pip install -r requirements.txt
PyOMO solver issues: For optimization features, you may need to install solvers like GLPK or IPOPT.

Platform-Specific Notes

Windows

Ensure you have Microsoft Visual C++ Build Tools for compiling certain packages
Use PowerShell or Command Prompt for installation

Linux/Mac

May require python3 and pip3 instead of python and pip
Some packages may require development headers (python3-dev on Ubuntu)

Conda Users

The library works well with conda environments:

conda create -n process_control python=3.9
conda activate process_control
pip install -r requirements.txt