Title :
WC-SWFA algorithm in the application of constant tension control of the yarn
Author :
Quan Su ; Mingyu Gao ; Jiye Huang ; ZhiWei He ; Guojin Ma ; Yuanyuan Liu
Author_Institution :
Coll. of Electron. & Inf. Eng., Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
The aim of constant tension control of the yarn is to keep the yarn´s tension to be consistent during the winding process by controlling the speed of the motor according to the output voltages of the tension sensor. The mechanical structure of spinning machines such as the winding machine makes the fluctuation of the yarn´s tension changes rapidly. In this paper, we propose a new tension control algorithm, which is called the weighted curve sliding window filtering algorithm (WC-SWFA). According to this algorithm, the brushless direct current (DC) motor can be controlled to operate stably and efficiently, and the yarns will be shaped well. Theoretical analysis is firstly carried out to verify its effectiveness. Laboratory experiments are then put in force. In the experiments, an arbitrary waveform generator (AFG3252) is used to generate the simulated fluctuation signals of the tension, and an STM32 micro-controller is used to control the rotation of the motor, with the proposed WC-SWFA served as the control algorithm. Practical experiments on the winding machine show that the proposed algorithm works effectively.
Keywords :
angular velocity control; brushless DC motors; mechanical variables control; sensors; spinning machines; textile technology; winding (process); yarn; AFG3252 arbitrary waveform generator; DC motor; WC-SWFA algorithm; brushless direct current motor; constant tension control; control algorithm; motor speed control; spinning machines; tension sensor; weighted curve sliding window filtering algorithm; winding machine; winding process; yarn; Acceleration; Algorithm design and analysis; Brushless DC motors; Filtering algorithms; Fluctuations; Process control; Yarn; Brushless Direct Current Motor; Curve weighted sliding window filtering algorithm; STM32; tension sensor;
Conference_Titel :
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIE.2014.6864622