PID Parameter Optimization of Secondary Cooling Water Distribution Model for Continuous Casting Based on Improved Artificial Bee Colony Algorithm

2021 ◽  
Author(s):  
Yibing Wang ◽  
Xiangwei Kong ◽  
Peifeng Hao
Keyword(s):  
Continuous Casting ◽  
Parameter Optimization ◽  
Artificial Bee Colony Algorithm ◽  
Water Distribution ◽  
Artificial Bee Colony ◽  
Cooling Water ◽  
Distribution Model ◽  
Secondary Cooling ◽  
Bee Colony ◽  
Water Distribution Model

Dynamic Optimal Control for Metallurgical Continuous Casting Secondary Cooling Water Design of Adaptive Systems

2014 ◽  
Vol 926-930 ◽  
pp. 1322-1325
Author(s):  
Jin Hong Zhang ◽  
Jun Li Jia ◽  
Shu Yan Zhang
Keyword(s):  
Control System ◽  
Continuous Casting ◽  
Water Distribution ◽  
Continuous Casting Machine ◽  
Cooling Water ◽  
Distribution Model ◽  
Secondary Cooling ◽  
Water Control ◽  
Technical Requirements ◽  
And Control

In conventional continuous casting secondary cooling water control method on the basis of the proposed adaptive control strategy for water distribution.According to the production characteristics of slab continuous casting machine, the establishment of a dynamic soft reduction model of secondary cooling water control system and online. by introducing water distribution model and control system implementation, Through the adjuster to optimize performance, make the water distribution system in less money subject to meet the technical requirements of good results. Simulation and application of results showed that the effectiveness of the proposed model and control algorithms, speed control system for the disturbance has a good target temperature following the performance.

Metallurgical Secondary Cooling of Continuous Casting Based on Neural Network Adaptive System Design of Water Distribution

2014 ◽  
Vol 926-930 ◽  
pp. 802-805
Author(s):  
Jun Li Jia ◽  
Jin Hong Zhang ◽  
Guo Zhen Wang
Keyword(s):  
Heat Transfer ◽  
Continuous Casting ◽  
Water Distribution ◽  
Cooling System ◽  
Control Level ◽  
Cooling Water ◽  
Heat Transfer Model ◽  
Transfer Model ◽  
Secondary Cooling ◽  
Water Control

Efficient secondary cooling water control level slab continuous casting process and quality are closely related. Casting solidification heat transfer model is the basis of process control and optimization, heat transfer model based on determining the secondary cooling system is the most widely used method for casting production process can be simulated. However, when considering the many factors affecting the production and input conditions change significantly, real-time and strain of this method is not guaranteed. Therefore, the artificial intelligence optimization algorithms such as genetic algorithms, neural networks, fuzzy controllers, introducing continuous casting secondary cooling water distribution and dynamics of optimal control methods, the rational allocation of caster secondary cooling water and dynamic control is important.

A dynamic control water distribution model of steel in continuous casting

2012 ◽  
Vol 33 ◽  
pp. 012016
Author(s):  
Jian-Xun Fu ◽  
Weng-Sing Hwang ◽  
De-Chang Tsai ◽  
MingHsiu Tsai ◽  
Chien-Hsun Wang
Keyword(s):  
Continuous Casting ◽  
Water Distribution ◽  
Dynamic Control ◽  
Distribution Model ◽  
Water Distribution Model ◽  
Control Water

Study on Optimal Method for PID Parameter Based on Artificial Bee Colony Algorithm

2014 ◽  
Vol 624 ◽  
pp. 454-459 ◽  
Author(s):  
Guang Chun Li ◽  
Ping Yan ◽  
Sui Er Wang
Keyword(s):  
Control System ◽  
Parameter Optimization ◽  
Artificial Bee Colony Algorithm ◽  
Optimization Problem ◽  
Artificial Bee Colony ◽  
System Research ◽  
Optimal Method ◽  
Bee Colony ◽  
Optimization Control ◽  
Long Time

The PID parameter optimization has been a hot topic of control system research. Artificial bee colony algorithm is used to optimize the PID parameters of control system, and gives the PID parameter optimization process of the traditional artificial bee colony algorithm. Aiming at the optimization problem of long time, the improved artificial bee colony algorithm was put forward. The simulation results show that the improved artificial bee colony algorithm can significantly shorten the time of PID parameter optimization, control and better optimization accuracy.

Sign in / Sign up

Export Citation Format

Share Document