Ant Colony Algorithm Application In Glass Fiber Textile Machine Parameter Tuning

Abstract:

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.

• Periodical: Advanced Materials Research (Volume 462)
• Pages: 71-76
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.462.71
• Online since: February 2012
• Authors: Li Hong Zhang, Shu Qian Chen, Gui Zhi Bai
• Keywords: Ant Colony Algorithm (ACA), Glass Fiber Textile, Parameter Tuning, PID

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