Braking angle control of loom spindle based on neuron-adaptive PID algorithm

Article type: Research Article

Authors: Xiao, Yanjun | Li, Zeyu | Mao, Zhe | Zhou, Wei^{; *}

Affiliations: School of Mechanical Engineering, Hebei University of Technology, Tianjin, China

Correspondence: [*] Corresponding author. Wei Zhou. E-mail: xyj@hebut.edu.cn.

Abstract: The intelligent control strategy of electromagnetic clutch actuator is analyzed in detail in this paper. The start - stop control of the loom is realized by an electromagnetic clutch. The existing control method of electromagnetic clutch of loom is high and low pressure control strategy. The operator sets the braking advance angle according to experience, to realize the accurate braking of the spindle, but it is difficult to realize the fast and accurate control. In order to achieve good performance, it is very important to develop a fast and accurate loom braking system. Aiming at the fabric defects caused by the elongation of the warp when the loom is stopped, a method of stabilizing the excitation current of the electromagnetic clutch by using the neural adaptive PID (proportional integral differential) controller is proposed to improve the control precision of the actuator. The experimental results show that the proposed control algorithm is feasible and can effectively realize the adaptive control of the spindle braking Angle within the allowable error range.

Keywords: Loom, spindle brake, neuron-adaptive control

DOI: 10.3233/JIFS-210225

Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 6, pp. 4881-4889, 2022