Automatic Adjustment Method of Digital Electronic Controller Parameters Based on Big Data Analysis

摘要

From the perspective of the information industry, big data was a strong driving force for the new generation of information technology industry. To this end, based on the method of automatic adjustment of digital electronic controller parameters under big data analysis, a general iterative control method was proposed to adjust the parameters of digital electronic controller. This control technology dealt with a highly uncertain dynamic system in a very simple way and with less prior knowledge. It was suitable for general nonlinear control systems; it had a small online computational load and was suitable for fast motion control. Experimental results show that the iterative control method is effective for digital electronic controller. Compared with the internal model control method, the control effect and convergence were greatly improved, and the system output could quickly and accurately converge to a given value.