Research on Control of Virtual and Real Drive System of Intelligent Factory Robot Based on Digital Twin

Traditional virtual and real robot drive systems use management methods, but due to the impact of the production environment, the system’s command response speed is slow, which affects the control effect. To address this issue, this article proposes a control method for the virtual and actual drive system of intelligent factory robots based on digital twins. This method achieves high-speed interaction of the main control data of the driving system by setting up a data interaction scenario between the virtual and actual driving systems, and controlling the connections between the logical units and various modules. At the same time, by constructing control models of virtual and actual driving systems for robots, and combining virtual and actual driving interaction scenarios, the position and attitude conversion data of intelligent engineering robots are obtained. When sending instructions, smooth switching mode is used to control the virtual and actual driving systems of intelligent factory robots to achieve fast and dynamic response, and combined with smooth switching function to ensure the stable performance of the overall driving system. Through comparative experiments, the superiority of the driving system control method has been proven, which can be applied in practical life.