How to Successfully Migrate a Control System

Key Takeaways

• Auto‑migration requires block‑by‑block verification
• Rewrite code must match original logic precisely
• PID parameters need dead‑time based retuning
• Validate power supplies, grounding, and network integrity
• Leverage digital twins for pre‑migration simulation

Summary

Erik Cornelsen, a seasoned automation engineer, outlines a systematic approach to migrating control system code, emphasizing verification of auto‑migrated blocks and rigorous testing of rewritten logic. He stresses thorough PID review, including scaling, scan times, and dynamic simulation, while recommending industry‑standard tuning formulas. The interview also covers electrical checks—from power supplies to network integrity—and highlights the value of operator insight, digital twins, and first‑principle simulations to mitigate process risks during migration.

Pulse Analysis

Control system migration is more than a simple code transfer; it demands a dual‑track strategy that balances auto‑migration efficiency with the safety of manual rewrites. Engineers must confirm that every software block mirrors the legacy program, scrutinize tag name changes, and purge obsolete I/O. Network architecture upgrades—such as redundant fieldbuses—should be incorporated early, while analog scaling and scan‑time settings are validated during factory acceptance testing to avoid hidden performance gaps.

PID tuning lies at the heart of a successful migration. By conducting step tests to extract dead‑time, time constants, and process gain, practitioners can apply proven formulas—like lambda or Michel Ruel’s relationships—to set initial proportional, integral, and derivative times. Ensuring the ISA‑TR5.9‑2023 PID form aligns with engineering units, and employing auto‑tuning or Astrom relay methods, further safeguards against runaway loops and enhances set‑point response, especially in processes with large lags.

Electrical integrity and process awareness complete the migration checklist. Consolidating power supplies, confirming correct wiring terminations, and setting appropriate electronic fuse ratings prevent hardware failures. Simultaneously, engaging operators and documenting HMI screens capture tacit knowledge, while digital twins enable dynamic, first‑principle simulations of heat, mass, and instrument delays. This holistic approach transforms migration from a risk‑laden event into an opportunity for system optimization and long‑term reliability.