1. Research on Temperature Control System for Vacuum Annealing Furnace Based on Neural Network-PID
- Author
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Nai Lu Zhang, Wei Huang, Xin Liu, Li He, and Li Bo Li
- Subjects
Materials science ,Temperature control ,Artificial neural network ,Annealing (metallurgy) ,Field data ,Transistor ,Mechanical engineering ,PID controller ,General Medicine ,Thyratron ,law.invention ,law ,Vacuum annealing ,Electronic engineering - Abstract
Vacuum annealing is an important part in rare metal tube production, accurate control of the annea ling temperature has enormous influence on the quality of tubes.According to the technological characteristics and temperature control requirements of the vacuum annealing furnace ,a high precision temperature control system was built based on IPC, intelligent temperature controller and thyratron transistor power-regulator.The neural network-PID strategy was proposed to control temperature online through OPC interface, which realized accurate control and automatic detection of the whole process of annealing temperature. Field data indicates that this system has realized the accurate control of the vacuum annealing temperature, effectively improves the quality of rare metal tubes and has extensive application value.
- Published
- 2014
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