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- Title
基于BP神经网络的卷染机温度控制技术.
- Authors
魏苗苗; 刘洲峰
- Abstract
In order to solve the problem of temperature control in dyeing machines under high temperature and high pressure,an improved temperature control algorithm was proposed. The integral separation structure was introduced into the algorithm based on PID algorithm aided by BP neural network. When the temperature control error was above the threshold value,the integral component of PID controller was removed from the system to improve the control speed. When the temperature control error was below the threshold value,integral component was retained by the system to ensure the control accuracy. The simulation results show that,compared with traditional PID control algorithm and the PID algorithm based on BP neural network,this algorithm can shorten the time of temperature control to achieve better control effect promising the higher temperature control precision.
- Subjects
TEMPERATURE control; DYEING machines; HIGH temperatures; TARDINESS; PROBLEM solving; ALGORITHMS; PID controllers
- Publication
Wool Textile Journal, 2019, Vol 47, Issue 7, p71
- ISSN
1003-1456
- Publication type
Article
- DOI
10.19333/j.mfkj.2018090210704