Crane Rope Resonance Elimination via Active Filtering
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Solution Overview
Problem
Crane systems face challenges in achieving accurate positioning, dynamic tracking, and stable anti-swing control due to resonance between the steel rope and hoisted goods, leading to reduced efficiency and safety concerns during loading and unloading operations.
Innovation Solution
A nonlinear resonance model-based active filtering method is developed to construct a dynamic model of the crane using Lagrange's equation and a steel wire rope-motor nonlinear resonance model, allowing for the detection and elimination of harmonic resonance through active filtering, thereby controlling the output torque of the motor to suppress resonance between the steel wire rope and the hoisted object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If manual operation with experienced operators is used to control swinging angle, then the swinging degree can be kept within a small range, but higher requirements are put forward to workers and additional training is needed
Solution Approach 1:
The system uses automatic detection and control mechanisms where the crane system itself monitors its own swinging angle through sensors and automatically adjusts operation parameters, eliminating the need for operator expertise in judging and controlling swinging angles manually
Solution Approach 2:
The system implements real-time feedback control by continuously detecting the swinging angle through sensors and using this information to automatically adjust the crane's operation, creating a closed-loop control system that maintains swinging angle within acceptable ranges without human intervention
2Stability of the object's composition
If manual operation reduces swinging angle only by air resistance after swing occurs, then the anti-swing effect is achieved, but the time for one hoisting is greatly increased
Solution Approach 1:
The system performs preliminary detection of swinging angle and predicts resonance conditions before they fully develop, allowing preventive control actions to be taken that stop swings at their source rather than waiting for them to occur and then dissipating through air resistance, thereby maintaining anti-swing effectiveness while reducing cycle time
Solution Approach 2:
The system dynamically adjusts control parameters in real-time based on detected swinging conditions and resonance states, enabling adaptive response that optimizes anti-swing performance while minimizing interference with normal hoisting operations and maintaining high productivity
3Measurement precision
If manual operation is used for accurate positioning, then repeated adjustments may be needed, but accurate positioning is difficult to achieve
Solution Approach 1:
The system uses real-time feedback from position sensors and swinging angle detectors to continuously monitor and adjust the crane's position, enabling automatic correction of positioning errors and achieving high positioning accuracy without requiring repeated manual adjustments
Solution Approach 2:
The system replaces manual mechanical positioning operations with automated detection and control systems that use sensors, processors, and actuators to achieve precise positioning automatically, eliminating the inefficiency of repeated manual adjustments
4Object-generated harmful factors
If resonance between steel wire rope and hoisted goods occurs, then the swinging degree is greatly increased, but safety factor is reduced and accidents occur frequently
Solution Approach 1:
The system detects resonance conditions and predicts dangerous swinging amplification before it occurs, then takes preliminary control actions to counteract the resonance and prevent dangerous swinging degrees from developing, thereby maintaining safety factors and preventing accidents before they can occur
Solution Approach 2:
The system implements real-time monitoring of resonance conditions through sensors that detect vibrations and swinging angles, using this feedback to automatically adjust control parameters and suppress resonance, thereby preventing dangerous swinging amplification and maintaining safety
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method effectively reduces the swinging angle and achieves rapid resonance elimination, improving anti-swing performance and enabling precise positioning of the crane, thus enhancing loading and unloading efficiency and safety.
Implementation Method 1
steel wire rope-motor nonlinear resonance model to detect a harmonic
Implementation Method 2
eliminating the harmonic by means of active filtering
Data Source
AI summary
A nonlinear resonance model-based active filtering crane steel rope resonance elimination control method, including: constructing a two-dimensional dynamic model of a bridge crane according to a Lagrange's equation; constructing a steel wire rope-motor nonlinear resonance model to detect a harmonic; and eliminating the harmonic by means of active filtering. The present disclosure makes in-depth study on positioning of a crane and intelligent control of an anti-swing and resonance elimination control system and uses active filtering to eliminate resonance between a heavy object and the steel wire rope, thereby reducing a swinging angle and achieving the rapid resonance elimination and anti-swing effect. The active filtering technology can quickly and effectively detect a resonance current so as to effectively suppress resonance between the heavy object and the steel wire rope, and further helps a controller quickly and accurately position a trolley to further improve anti-swing performance.