DriveAIAgent: A Multi-Agent System for Industrial Drive Commissioning and Troubleshooting

Commissioning is a critical phase in the lifecycle of an industrial drive system, significantly affecting overall performance and reliability. It involves configuring drives and motors for specific applications—such as mixing, pumping, or operating conveyors—and often requires managing complex interdependencies. Traditionally, commissioning is performed manually by domain experts through multiple steps, requiring them to navigate various resources ranging from drive datasheets to vendor-specific tools for drive parameter adjustment. This manual process is time-consuming, and errors can cause significant delays, sometimes lasting several days. In this paper, we propose DriveAIAgent, a novel system architecture and methodology that integrates generative AI-powered multi-agent systems to automate and enhance the commissioning and troubleshooting of industrial drives. Our agentic system utilizes expert tools to interact with and respond to external environments, incorporating a human-in-the-loop approach. The evaluation shows that our system achieves 100% accuracy in identifying encoder parameters during the initial commissioning phase, as well as very high solution relevance (94.73%) and correctness (86.29%) for troubleshooting across different drive types. Overall, DriveAIAgent can streamline complex interactions and significantly reduce the time required for commissioning and troubleshooting industrial drive systems while maintaining the same level of quality as a human expert.