Research on parameters optimization and simulation of the ant colony algorithm

2014 ◽  
Author(s):  
Xing Wei ◽  
Jingjing Qu ◽  
Zhiyuan Li
Keyword(s):  
Ant Colony Algorithm ◽  
Parameters Optimization ◽  
Ant Colony ◽  
Optimization And Simulation

Ant Colony Algorithm Application In Glass Fiber Textile Machine Parameter Tuning

2012 ◽  
Vol 462 ◽  
pp. 71-76 ◽  
Author(s):  
Li Hong Zhang ◽  
Shu Qian Chen ◽  
Gui Zhi Bai
Keyword(s):  
Glass Fiber ◽  
Pid Control ◽  
Ant Colony Algorithm ◽  
Control Process ◽  
Parameter Tuning ◽  
Integral Function ◽  
Parameters Optimization ◽  
Ant Colony ◽  
Control Parameters ◽  
Optimization Strategy

In glass fiber textile process, non-axis volume cloth drive motor with glass fabric volume increases, increasing the pressure on the drive shaft, moreover, because of cloth non-axis volume makes the pressure in the process of change is evident, that causes the motor load changing constantly, the traditional PID control system controller cannot timely tracking response. In order to solve the problem which the control parameters optimizes, improves the system performance, proposed a new Ant colony algorithm PID parameters optimization strategy, this solution can combine characteristics that Ant colony algorithm can fast find the most superior parameter solution stably and PID can precise adjustment. In the control process, taken the PID parameters as a colony of ants, used to control the absolute error integral function as the optimization objective, dynamically adjust the PID control parameters in the control process, so as to realize the PID parameters on-line tuning.

Ant Colony Algorithm Application in Water Treatment Control System Parameter Tuning

2012 ◽  
Vol 433-440 ◽  
pp. 4354-4360
Author(s):  
Shu Qian Chen ◽  
Li Hong Zhang
Keyword(s):  
Control System ◽  
Water Treatment ◽  
Pid Control ◽  
Ant Colony Algorithm ◽  
Thermal Power ◽  
Control Process ◽  
Parameters Optimization ◽  
Ant Colony ◽  
Control Parameters ◽  
Treatment Control

In Thermal Power Generation and heating Water Treatment process, duo to the water supply pipeline pressure and flow changes, the traditional PID control system controller cannot the prompt track response, PH value of water changes in a larger range, increased damage to the boiler pipes. In order to solve the problem which the control parameters optimizes, improves the system performance, proposed a new Ant colony algorithm PID parameters optimization strategy, this solution can combine characteristics that Ant colony algorithm can fast find the most superior parameter solution stably and PID can precise adjustment. In the control process, taken the PID parameters as a colony of ants, used to control the absolute error integral function as the optimization objective, dynamically adjust the PID control parameters in the control process, so as to realize the PID parameters on-line tuning, to improve real-time of the water treatment control system, improved the stability of the system, and achieve a better control effect.

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