Many industries are facing increasingly complex algorithms deployed in production systems to achieve greater productivity. In addition, the cost of downtime for implementing improvements in control software can be prohibitive. Today, companies are tuning to virtual commissioning to address these two issues. Mining companies can leverage virtual commissioning to ensure new control algorithms will be reliable, achieve desired results, and be implemented seamlessly with minimal downtime.
Virtual commissioning uses dynamic models to design and validate algorithms for improved productivity. After validation, these algorithms can be automatically deployed to a simulated PLC, where the code running on the PLC is tested against the plant model.
This seminar focuses on two aspects of virtual commissioning: design with simulation, and implementation with code generation. You will see the workflow demonstrated using a common challenge across mining companies: a multi-tank level control problem.
Part 1: Design with Simulation
A dynamic model of a series of connected tanks of liquid is developed. Different level-control strategies are designed starting with PID controllers, to fully interconnected controllers such as Model Predictive Control. The control strategies are tuned in a simulation environment and validated against performance requirements. The approach taken will highlight the benefits of using dynamic models and simulation to quickly converge on an objective.