Affiliations: School of Mechanical Engineering, Hebei University of Technology, Tianjin, China
Correspondence:
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Corresponding author. Wei-Ling Liu and Yan-Jun Xiao, School of Mechanical Engineering, Hebei University of Technology, Tianjin, China. E-mail: [email protected]. and E-mail: [email protected].
Abstract: When a high-speed loom is suddenly stopped or is driven again in a faulty state, it is easy to cause defects such as brake marks and driving marks on the fabric. This is because the brake system of the loom has insufficient control of the accuracy of the parking angle. To improve the control accuracy of the braking system, this paper analyzes the dynamic process of the braking system when braking, builds a mathematical model of the electromagnetic clutch of the braking system, and proposes to regulate the excitation current of the system by fuzzy PID algorithm. The rule table of this PID controller is established by expert experience, and the center of gravity method is used for defuzzification. In addition, this article combines internet communication and storage technology to build a cloud platform for the brake system, and realizes the monitoring, storage and diagnosis of the brake system data. Finally, hardware testing and on-site braking experiments (including parking angle data acquisition experiment and spindle speed change experiment during braking) verify that the design can achieve high-precision parking angle positioning at different speeds, and has a fast dynamic response and a smooth braking process.
Keywords: Fuzzy PID, cloud platform, high
speed loom, brake system
