LabMIMO: Virtual Workbench for Nonlinear Coupled Multi-Input Multi-Output Process Control Study
LabMIMO: Virtual Workbench for Nonlinear Coupled Multi-Input Multi-Output Process Control Study
The “LabMIMO” is an innovative virtual learning workbench for nonlinear coupled MIMO processes. This virtual laboratory tool provides an open platform to understand and validate the fundamentals of a control system for coupled Multi-Input Multi-Output processes. This project motive is to design and development of an interactive virtual laboratory to perform various experiments on a bench marked Quadruple Conical Tank System (QCTS). Users can study open loop and closed loop system analysis for SISO and MIMO configurations along with the effect of coupling and interactions at different operating points. Different experiments designed to enhance the essential knowledge controller designs like PID controller, Gain Scheduling based PID controller, Fuzzy logic controller and Model Predictive Controller (MPC). To equip engineering E-learners with realistic hands-on laboratory experience industrial standards virtual graphical user interface is provided. This tool is designed using the LabVIEW platform and available openly for all users and its license-free. The executable file is available along with the LabVIEW runtime engine for all users. The Hardware setup is quadruple conical tank system. The system consists of four conical shaped tanks which having an interaction between the tanks. Quadruple Conical Tank System (QCTS) is example of nonlinear Coupled MIMO process. In conical tank system non-linearity exists due to its variations in cross sectional area itself. The Model based algorithm are tested and validated using the QCTS hardware setup and available on Public domain for users on LabMIMO website Platforms.
List of Experiments
Experiment 1
Mathematical modeling of the nonlinear coupled MIMO system .
Experiment 2
To understand the open-loop response analysis for Nonlinear Coupled MIMO system
Experiment 3
Design a SISO/two loop PID controller for MIMO system.
Experiment 4
Decouples design using the relative gain array method for Four Tank System
Experiment 5
Fuzzy logic based Controller
Experiment 6
Model Predicative Controller for MIMO process
This is in house website for Instrumentation and Control Engineering Students of Institute of Technology Nirma University , Gujarat, India
Refer : https://labmimo.in/ for more details and opensource ( Designed and Managed by Prof. Alpesh Patel)