Which sequence best describes typical steps to commission a new DDC controller in a lab?

• A. Verify wiring, power, network connectivity, configure I/O, load a baseline program, perform loop checks, calibrate sensors, tune control, validate with real process
• B. Calibrate sensors, tune control, validate with real process only
• C. Replace all sensors and assume the system is good
• D. Skip measurements and test only with simulated signals

Answer: (A)

Getting a new DDC controller up and running in the lab is about a careful, stepwise verification of both hardware and software before trusting the control system with real processes. Start by confirming all fundamentals: power is solid, wiring is correct, and network connectivity is in place. If the physical and communications groundwork isn’t solid, nothing else will work reliably. Next, set up the I/O so each sensor and actuator is correctly mapped to its channel, and the controller can talk to field devices as intended. Then load the baseline program—the control logic you’ll actually run—so the controller has the right instructions to execute. With the basics in place, run loop checks to verify that feedback paths are functioning and that signals travel through the system as expected, catching wiring faults, mislabeled sensors, or misrouted I/O early. After that, calibrate sensors so their readings match real-world values, and tune the control parameters so the loop responds properly to changes without excessive overshoot or instability. Finally, validate the entire setup with the real process in the lab, ensuring the system performs as required under actual operating conditions and revealing any issues that simulations or isolated tests can miss.

Skipping measurements or relying only on simulated signals, or simply replacing sensors and assuming everything is good, misses critical verification steps and can hide integration problems. Limiting testing to calibration and tuning without confirming the I/O setup, program loading, and real-process behavior also risks overlooked faults that appear only when the system operates with real dynamics.