sproclib 2.0.0

Standard Process Control Library for chemical process control

SPROCLIB - Standard Process Control Library

A comprehensive Python library for chemical process control, providing essential classes and functions for PID control, process modeling, simulation, optimization, and advanced control techniques.

Installation

pip install sproclib

Features

• PID Controllers: Classical and advanced PID control implementations
• Process Models: CSTR, tanks, heat exchangers, distillation columns, and reactors
• Analysis Tools: Transfer functions, simulation, and optimization capabilities
• Advanced Control: Model predictive control and state task networks
• Tuning Methods: Ziegler-Nichols and other proven tuning rules

Quick Start

import sproclib as spc

# Create a PID controller
controller = spc.PIDController(kp=1.0, ki=0.1, kd=0.05)

# Create a tank model
tank = spc.Tank(volume=100, area=10)

# Simulate step response
response = spc.step_response(tank, time_span=100)

Requirements

• Python 3.8+
• NumPy >= 1.20.0
• SciPy >= 1.7.0
• Matplotlib >= 3.3.0

License

MIT License

Author

Thorsten Gressling [e-mail]