From Defining Objectives to a Virtual Plant Model
Virtual commissioning is a central component of modern engineering processes, as it validates the behavior of a machine or system even before the physical equipment is available. At its core, it is not merely a matter of visualization, but rather the functional integration of the control system, the plant model, and the process logic. It is only through this integration that a reliable representation of the system’s future behavior is created.
The first step is to define the objectives and scope. This involves determining which aspects of the plant are to be tested virtually—such as PLC logic, motion sequences, material flows, or specific error scenarios. This decision determines the necessary level of detail in the model. While signal-based behavior may suffice for pure logic tests, collision-critical or cycle-time-relevant analyses require a significantly deeper, and in some cases physically grounded, understanding of the model. A precise definition of objectives prevents both unnecessary modeling effort and insufficient informative value.
Building on this, a consistent database is created in which mechanical, electrical, and automation-related information is consolidated. CAD data, I/O lists, PLC programs, and sequence descriptions must be internally consistent. A key advantage of virtual commissioning is already evident here: inconsistencies between disciplines become apparent early on and can be resolved before they manifest in the real
Integration of Control and Simulation
Once the controller is connected, the actual virtual commissioning in the strict sense begins. The real or emulated PLC is linked to the simulation model, enabling bidirectional signal exchange. The simulation takes on the role of the real machine: controller outputs influence the model’s behavior, while simulated sensor states are fed back as inputs.
I/O mapping plays a central role in this context. Here, it is determined which signal triggers which effect in the model and how states are reported back. Errors in addressing, inconsistent signal directions, or unclear state definitions quickly become apparent in this phase. At the same time, the temporal behavior of sensors and actuators can be verified, which is crucial for the stability of the control logic.
On this basis, the basic functions are validated first. Individual movements, reference runs, manual operation, and basic interlocks are tested in isolation to establish a stable foundation. This structured approach ensures that errors are detected early and do not become masked in more complex sequences.
Validation, error analysis, and iterative optimization
Only once the basic functions are stable is the system evaluated in automatic mode. The focus here is on complete process chains: handoffs between stations, the synchronization of parallel processes, and system behavior under realistic cycle conditions. Virtual commissioning enables a reproducible analysis of complex interrelationships that are often difficult to fully understand in the actual system.
Significant added value results from the targeted simulation of error and special cases. Sensor failures, defective workpieces, emergency stop scenarios, or restarts can be systematically tested without risk to people or machines. These situations are often critical in practice but can be fully and controllably covered in a virtual environment.
The insights gained in this process are directly incorporated into the further development of the control system and model. Virtual commissioning is thus not a linear process, but an iterative control loop. Adjustments to the PLC logic, optimizations of motion profiles, or refinements of state models are immediately checked and verified.
Finally, the results are documented in a structured manner. This provides transparency regarding the level of assurance achieved and forms the basis for actual commissioning. Overall, virtual commissioning consistently shifts the validation of system behavior to an early phase of engineering and thus contributes to
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