Abstract
In the textile industry, in order to better control loom warp tension and obtain better quality fabrics, it was very pivotal to choose a good control algorithm. This paper emphatically carried on the design and analysis on three control methods, they were PID algorithm, fuzzy PID algorithm and single neuron adaptive PID algorithm. This article took the let-off system of SAURER400 loom as experimental object, and adopted the simulation system of MATLAB to check up the advantage and disadvantage of three control methods. The results showed that the simulation curve of single neuron adaptive PID control algorithm was fast response and small overshoot; In the process of weaving, this algorithm was very effective to control warp tension and obviously reduced the range of fluctuation of warp tension; Three kinds of algorithms designed in this article provided some methods to reference for controlling the warp tension of the loom in the future.
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