Intelligent Electric Actuator Automation Control System Design and Application Based on the Internet of Things
Propose an intelligent electric actuator automation control system based on the Internet of Things to meet the industry's demand for higher performance in electric actuators.The system achieves precise control and real-time monitoring of the actuator by introducing adaptive dynamic programming and reinforcement learning algorithms,combined with multi-sensor fusion technology.Experimental platform evaluation results show that the system meets industrial standards in terms of response time,control accuracy,and network throughput.Furthermore,trajectory tracking tests indicate that the system demonstrates high precision under various motion conditions.This system effectively enhances the automation control capabilities of electric actuators and possesses potential applications in complex industrial environments.
Internet of Thingselectric actuatorautomated controladaptive dynamic programmingreinforcement learning
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