The world runs on industrial control. A typical industrial plant has hundreds to thousands of control loops to regulate variables such as temperature, pressure, flow, level, speed and position. Yet most control loops still rely on fixed-gain PID control: a technology over 100 years old, that can lose performance as loads, equipment and operating conditions change.

Join CeeD, Saliqo and Star Refrigeration for a practical session on moving beyond repeated tuning and reactive manual optimisation. We will show how Saliqo’s model-free adaptive control software adds an intelligent control layer directly to existing PLCs and embedded hardware - without cloud infrastructure, complex plant models or additional hardware.

Saliqo combines a deterministic, aerospace-derived control core with AI-based adaptation. The AI augments engineered logic rather than replacing it, allowing the controller to adjust continuously as process dynamics change while retaining predictable behaviour at the edge.

The session will centre on Saliqo’s work with Star Refrigeration across industrial freezers and chillers. Saliqo’s control technology is operating in 17 systems across 10 industrial sites, with challenging applications including compressor capacity control, coupled-vessel level-control and valve position for superheat control.

Attendees will see the operational case behind the technology: reported results include a 60% reduction in overshoot, a 50% improvement in temperature tracking, reduction in  commissioning time and labour, more than 150 maintenance hours saved per year and a 15% energy saving through optimised economiser operation. We will also discuss what was required to integrate the software into existing PLC-based systems and where adaptive control may create value elsewhere.

What you will take away

• Why static PID control loses performance when process conditions vary
• How Saliqo’s model-free adaptive control works - and how deterministic logic and AI are combined
• What Star Refrigeration’s deployments reveal about commissioning, maintenance, energy and control performance
• How the software runs at the control layer on existing PLCs, without cloud infrastructure or new hardware
• How to identify high-value candidate control loops in refrigeration, thermal systems, water, food and beverage, manufacturing and other process industries
• A practical route from application discovery and proof of value to repeatable deployment

Bring a control challenge. If your process suffers from variability, overshoot, repeated tuning, long commissioning or avoidable energy use, this session will help you assess whether an adaptive-control pilot could deliver measurable value with minimal disruption.