Understanding proportional gain and integral time’s functions in control loop tuning values and how they work together is important.
Rice University models help ID materials for advanced electronics, computer memories for spintronics.
Control engineers can future-proof their process control systems (PCSs) with Lean project management principles, which gives companies the flexibility needed to meet ever faster changing customer demands.
Proportional-integral-derivative (PID) tuning can be challenging to learn, but the experience gained can serve engineers well in other areas. See six things to do when a PID loop underperforms.
Cover Story: Can artificial intelligence (AI) prove to be the next evolution of control systems? See three AI controller characteristics and three applications.
Analytics and machine learning (ML) are the norm in manufacturing and can help users get better, more actionable data. Two examples are highlighted.
Variability controlled with artificial intelligence (AI) software. A digital twin-based AI optimizer was deployed to run alongside advanced process controllers (APCs). Results include a 1% increase in mill production throughput with annual topline impact of $3-4 million for the mine. See 4 objectives for recurrent neural networks and self-adaptive tuning.
An Industrial Internet of Things (IIoT)-enabled global process validation system with advanced process control (APC) capabilities can accelerate manufacturing efficiency, production capacity and reduce production cycle time for the COVID-19 vaccine rollout.
Zero downtime is a requirement for many water/wastewater processes, often necessitating upgrading legacy automation by migrating existing code
Largest U.S. rotary heat-treating facility modernizes controls and automation with tight database integration.