Hardware-in-the-Loop (HIL) testing combines software simulations with real control hardware to validate control systems, control algorithms and automation software before deployment in industrial applications. The service enables relevant operating conditions and system behaviour to be reproduced in a controlled environment, allowing potential flaws, unexpected responses and integration issues to be identified at an early development stage. HIL testing can support both conventional and AI-assisted control functions and helps reduce development risk and the need for repeated testing on complete physical systems.
System or component model developed or adapted for the agreed HIL testing scope
Results of system, control and integration testing under agreed operating scenarios
Identification of unexpected system behaviour, integration issues or functional limitations
Evaluation of the tested control or AI-assisted functionality against agreed requirements
Recommendations supporting further development, integration and faster prototyping
Definition of customer needs, system requirements and testing objectives
Customer provision of the control system, control algorithm or software to be tested together with relevant technical specifications, communication interfaces, operating scenarios and expected system behaviour
Analysis of the system architecture, interfaces and relevant operating conditions
Definition of test scenarios, evaluation criteria and required measurements
Development or adaptation of the required simulation model
Integration of real control hardware or software with the simulated system
Execution of system and integration tests under agreed operating, boundary and failure conditions
Analysis of system responses, performance and identified integration issues
Evaluation of the tested control or AI-assisted functionality against agreed requirements
Recommendations for further development, integration or prototyping
Manufacturers, automation technology providers, control-system developers and system integrators developing control software, control algorithms or AI-assisted automation functions for industrial and manufacturing systems.