Research On Embedded Temperature Control Of Dyeing Machine Based On ARM And CAN Bus

Dyeing industry is an important industry of our country. The bacth dyeing process is mainly the implementation of the temperature curve, so the reliability and accuracy of temperature control have become the key decision to dyeing product's quality. In the temperature control process, the overshoot, volatility, response time and deviation should be minimized, which is extremely important to improve the dyeing product's quality, enhance the productivity and save the materials.In this paper, the temperature for dyeing machine is to be controlled as the main dyeing parameter. The following sections are included in this paper: firstly the advantages and disadvantages of the traditional PID algorithm and the Fuzzy control algorithm are analyzed, as well as the MATLAB simulation results of the traditional PID and the Fuzzy PID self-tuning algorithm are obtained. On the basis of the above analysis, the Fuzzy PID self-tuning algorithm is chosen as the temperature algorithm of this paper. Next the hardware of the temperature controller is designed using LPC2290 as CPU, the PT100 as temperature sensor, the LCD and touch screen as the human-machine interface and the PWM waveform output conditioning circuit to control the opening of pneumatic proportional valve. As for the software, the control software is designed with C language and debugged under the ARM Integrated Development Environment ADS1.2. The software achieves the hardware configuration and the overall control functions as well as the communication function between the main dyeing controller and this controller using a custom CAN protocol. An USB CANll analyzer is connected into the CAN network for testing the communication function through a host computer software by monitoring the CAN network data frames. Additionally, some modules and software flow charts of the temperature control system are given in detail.Some simulation experiments in the laboratory show that this control platform runs stably and reliably and it achieves the desired functionality. It is proved that by introducing the Fuzzy PID self-tuning algorithm into the batch dyeing machine's temperature control system, the control effect is improved with better robustness and stronger self-adaptive capability.