中文简体
عربى1. Basic composition of computerized flat knitting machine hardware control system
The hardware control system of computerized flat knitting machine is a highly integrated system, mainly composed of distribution board, main control box, servo system, base plate, roller drive, machine head and related wires. These components work together to complete the whole process from command input to knitting finished products.
The distribution board provides a stable power supply for the whole system to ensure the normal operation of each component. As the "brain" of the control system, the main control box is responsible for receiving and processing instructions from the human-machine interface, such as knitting pattern, speed setting, etc., and sending precise control signals to each actuator. The servo system drives the machine head for precise position control and speed control with its high precision and high response speed, which is the key to ensure stability and accuracy during the knitting process.
The base plate, roller drive and machine head constitute the core actuator of the knitting work. The base plate is responsible for supporting and guiding the yarn, and the roller drive ensures the smooth progress of the knitting process by precisely controlling the tension of the yarn. The machine head is the "hand" of the entire weaving work. It moves and selects needles accurately according to the instructions of the main control box and driven by the servo system to complete complex weaving patterns.
2. Optimization design of hardware architecture
In order to further improve the performance and stability of computerized flat knitting machines, the optimization design of hardware architecture is particularly important. This includes further improving key technologies such as machine head motion control, rocker motion control, needle selection control, yarn selection control, bottom plate control, and fabric pulling motion control.
In terms of machine head motion control, by optimizing the control algorithm of the servo system, smoother and more precise movement can be achieved, and vibration and error can be reduced. Rocker motion control ensures uniform distribution and stable tension of yarn by accurately controlling the motion trajectory and speed of the roller. Needle selection and yarn selection control use high-precision sensors and intelligent algorithms to achieve accurate selection and switching of yarns, thereby improving the complexity and precision of weaving patterns.
Bottom plate control and fabric pulling motion control achieve stable yarn delivery and uniform pulling of fabrics by optimizing control algorithms and mechanical structures, avoiding problems such as wrinkling and thread breakage. In addition, in order to further improve the reliability and real-time performance of the control system, programmable logic devices FPGA/CPLD can be used to implement the main functions of the hardware, and ARM embedded hardware control systems and display/input terminal devices can be independently developed.
3. Technological innovation and future prospects
With the increasingly obvious trend of intelligence and automation in the textile industry, the hardware control system of computerized flat knitting machines is also constantly innovating and upgrading. For example, by introducing Internet of Things technology, remote monitoring and fault diagnosis can be achieved, and the maintenance efficiency and operation stability of equipment can be improved. At the same time, the introduction of artificial intelligence and machine learning technology can further enhance the complexity and personalization of weaving patterns to meet the increasingly diverse needs of consumers.
In addition, with the continuous emergence of new materials and new technologies, the hardware control system of computerized flat knitting machines also needs to be continuously upgraded and optimized to adapt to new weaving processes and materials. For example, in response to the weaving needs of new fibers and composite materials, it is necessary to develop more accurate control systems and more efficient weaving algorithms.
