Improved PID Algorithm-intelligent Detection System of Tightening Machine
Main Article Content
Abstract
As the level of automation in manufacturing industry continues to improve, intelligent tightening technology is widely used in many fields. Research on torque, force and angle control technology for tightening machines focuses on designing sensitive detection systems, constructing control models and implementing accurate control of tightening parameters. This article proposes an optimized PID algorithm to improve tightening accuracy and stability. At the same time, an intelligent tightening machine monitoring system will be designed and developed to achieve online monitoring and control, ensuring tightening quality and stability. The system will use the latest technologies, including big data, cloud computing and artificial intelligence, to further optimize the tightening effect. The overshoot of PID control optimized by PSO-GA hybrid algorithm is 8.367% , which is far less than that of PID control alone, it is shown that the PSO-GA hybrid algorithm has higher accuracy and better robustness.
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