Design Of Correction Controller Based On Fuzzy Control

With the rapid development of modern industrial production, the correction controller is widely used in various trades and industries, especially in the packaging and printing industry. The color of controlled object is developed from a single black and white to color. When the coiled material is rectified by the way of color, the correction controller is powerless on the current market. Therefore, it is particularly important to design a correction controller which can easily high-precision rectified by the way of color.The photoelectric sensor which is used in the correction controller is replaced by the TCS230color sensor of TAOS Company based on the analysis and comparison of the current correction control system at home and abroad. The structure of complementary staggered layout between the two sensors is used in order to effectively eliminate non-detection zone of the correction controller, and the hardware platform of acquisition system is built. The pulse and pulse width signal are collected through the digital output signal of TCS230. The advantages and disadvantages of pulse and pulse width acquisition are compared, then the method of pulse width acquisition which is more suitable for the correction controller is chosen, as well as the median filter algorithm is used to process the data of pulse width acquisition. In the case of RGB three filters of TCS230, the output values were collected according to the measuring method of pulse width, and these data were analyzed and relative ratio processed, and the colors were fuzzy identified, after then the automatic selection of acquisition system filter was implemented.In order to solve the complex nonlinear of controller object in high-speed operation condition and improve the deviation-correcting accuracy of correction controller, the PD two dimension fuzzy control algorithm with parameter self-adjusting from simple one dimension fuzzy control algorithm is designed based on the model feature and transfer function of controlled object. At the same time, the sensibility of controller can be adjusted according to the working condition.Finally, the joint debugging of the correction controller is done based on the completion of the each bottom module debugging. The experimental results show that the system response time can be improved from20ms to5ms. On condition that the velocity of executive body allows, the correction accuracy of the system can be increased from±0.3mm to±0.1mm. The optimal filter can be automatically selected when the coiled materials are different colors, and the requirement of correction controller with high accuracy is achieved.