Construction waste crushing control method and system based on load feedback

By conducting in-depth analysis of the stator current signal of the crusher's main shaft motor and adjusting the PID parameters using a fuzzy logic controller and a Gaussian membership function, the problem of insufficient load signal feature analysis in existing technologies has been solved, achieving efficient and safe control in the construction waste crushing process.

CN122124915AActive Publication Date: 2026-06-02LUOYANG INST OF SCI & TECH +1
8 Cites 0 Cited by

Patent Information

Application Number
CN202610622409.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-08
Publication Date
2026-06-02
Estimated Expiration
2046-05-08

AI Technical Summary

Technical Problem

Existing construction waste crushing control methods cannot deeply analyze the characteristics of load signals, resulting in a lag in the response of the control system when processing construction waste of varying hardness and size, making it difficult to suppress mechanical impact while ensuring crushing efficiency.

Method used

By collecting the stator current signal of the crusher's main shaft motor, extracting the active current component, calculating the sample entropy value and coefficient of variation, constructing a weighted function to correct the load deviation term, and using a fuzzy logic controller and Gaussian membership function to adjust the PID parameters, combined with the impact factor for post-weighted correction, the frequency of the feed motor's inverter is adjusted.

Benefits of technology

It improves the crusher's response strength under drastic load fluctuations, prevents overload and stall, ensures safe equipment operation, and enhances the continuity and production efficiency of crushing operations.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention provides a construction waste crushing control method and system based on load feedback, and the method comprises the steps: collecting a current signal of a motor stator of a main shaft of a crusher, extracting an active current component representing torque, and constructing a time sliding window sequence; calculating an algebraic difference between the current active current component and a preset target value to obtain an original load deviation; constructing a weighting function, finishing load deviation amplitude correction, and solving a first-order derivative of time to obtain a load change rate; a fuzzy logic controller is built, a Gaussian membership function is adopted in the fuzzification stage, mapping of sample entropy and Gaussian distribution width is built, and the width of the membership function is set in real time; obtaining a PID parameter adjustment fuzzy subset according to a fuzzy rule, and performing weighted correction on a gravity center method ambiguity resolution result by using a sliding window sequence peak-to-average ratio as an impact factor; and superposing the adjustment increment to a PID reference parameter, calculating a control instruction in combination with the corrected load deviation, and adjusting the output frequency of the frequency converter of the feeding motor. The multi-dimensional adjustment of the crusher can be controlled.
Need to check novelty before this filing date? Find Prior Art