A single-input fuzzy pid control method for buck type dc-dc converter

Abstract

A single-input fuzzy PID control method of a Buck type DC-DC converter includes the steps that firstly, a transfer function of a compensation front system is built; then parameter tuning is conducted on a PID controller through the frequency domain method, and a membership function of a fuzzy logic input and output variable is designed; secondly, by means of analysis of a converter system response curve and mapping of the converter system response curve in a fuzzy rule list, a two-dimensional Toeplitz type fuzzy rule list with the quick response and low overshoot characteristics is constructed, and a double-input fuzzy PID controller is obtained; finally, dimensionality reduction is conducted on the double-input fuzzy PID controller by means of the signed distance method, and a single-input input fuzzy PID controller is obtained so as to reduce the hardware resource occupancy rate of the algorithm. Meanwhile, parameter optimization is conducted through the genetic algorithm, and it is guaranteed that the single-input input fuzzy PID controller obtained after dimensionality reduction has control performance equivalent to that of the double-input fuzzy PID controller.

Description

technical field [0001] The invention relates to a Buck type DC-DC converter, in particular to a single-input fuzzy PID control method for a Buck type DC-DC converter, belonging to the technical field of switching power supplies. Background technique [0002] Compared with linear regulated power supplies, DC-DC switching converters have higher conversion efficiency, so they are widely used in portable electronic devices. With the improvement of semiconductor technology and product performance requirements, large-scale integrated circuits include multiple functions and operating modes. In order to ensure their safe and reliable operation, the dynamic performance of the converter is particularly important. The use of effective control strategies to improve the dynamic performance of converters has become a research hotspot in the field of power electronics. Among them, digital control methods are easier to implement. Advanced, complex and intelligent control strategies enable c...

AI Technical Summary

Problems solved by technology

Huge fuzzy rule base and complex reasoning decisions and defuzzification operations require a large amount of hardware resources, while DC-DC converters require the controller to complete complex calculations within one switching cycle, which poses a challenge to processors in the field of high-frequency switching power supplies. Computing power poses a challenge

[0004] Conventional dual-input fuzzy logic controllers require two input signals, so the number of fuzzy rules is quadratically related to the number of fuzzy subsets of input variables. Although the number of fuzzy rules can be reduced by reducing the number of fuzzy subsets, it will also reduce the control performance

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