Active Mass Damper Control Force Calculation Method
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Solution Overview
Problem
Current active mass damper technologies in Korea lack effective domestic individual technology for calculating and controlling optimal control force, leading to inefficiencies in vibration control of structures under wind and seismic loads.
Innovation Solution
A method using an input filter to calculate optimal control force by sensing real-time frequency and acceleration, integrating acceleration to calculate velocity and displacement, and applying a weighting function and zero point calibration signal to determine and apply the optimal control force to the actuator, ensuring stable control and accurate signal generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional active control methods (LQR, LQG, H2) are used to calculate control force, then vibration control capability is achieved, but control efficiency is insufficient and mass/capacity requirements are high
Solution Approach 1:
The patent changes the control parameter calculation method by introducing an input filter that processes the measured structure response before feeding it to the control force calculator. This filtering operation modifies the frequency content and amplitude of the control signal, optimizing the control force generation to achieve better vibration suppression with reduced mass requirements.
Solution Approach 2:
The patent introduces an input filter as an intermediary component between the structure response sensor and the control force calculator. This filter acts as a mediator that processes the raw structural response signals, extracting optimal control information while removing unwanted frequency components, thereby improving control efficiency and reducing the mass capacity requirements of the active mass damper.
2Reliability
If active control methods are used, then vibration control is achieved, but control stability at zero point is insufficient
Solution Approach 1:
The patent implements a feedback mechanism where the measured structure response (acceleration, velocity, displacement) is continuously processed through the input filter and fed back to calculate the control force. This closed-loop feedback ensures that the control system continuously adjusts the control force to maintain stability at the zero point, improving both control reliability and zero point control precision.
Solution Approach 2:
The input filter performs preliminary processing of the structure response signals before they are used for control force calculation. By pre-filtering the input signals to remove noise and unwanted frequency components, the system prepares optimized control signals in advance, which improves control stability and zero point precision without requiring additional active control adjustments.
3Adaptability or versatility
If real-time control calculation is performed, then adaptive vibration control is achieved, but computational complexity and signal processing requirements increase
Solution Approach 1:
The patent segments the control system into distinct functional modules: a structure response sensor, an input filter, a control force calculator, and an actuator. The input filter is further segmented into specific filter components that process different frequency components separately. This modular segmentation simplifies the overall signal processing complexity while maintaining adaptive real-time control capability.
Data Source
AI summary
The present invention relates to a method for calculating optimal control force of an active mass damper and controlling the active mass damper, which is used for vibration control of a structure, the method comprising: (a) sensing frequency and an acceleration response generated in a structure in real time by a sensor, wherein the frequency and the acceleration response are structural responses; (b) calculating velocity and displacement of the active mass damper by integrating the acceleration response by an integral calculation module; (c) calculating the optimal control force using a weighting function and a zero point calibration signal according to the calculated velocity, the calculated displacement, and the calculated displacement, by a control force calculation module; and (d) controlling driving of an actuator according to the calculated optimal control force. Accordingly, the method/system for calculating optimal control force of an active mass damper and controlling the active mass damper according to the present invention can control a flow phenomenon of a moving mass body by a weighting function and a zero point calibration signal, enable stable control at a zero point, and remove signals other than those in a control mode through a band pass filter, thereby accurately generating a control signal and achieving performance which can satisfy a control target for each mode.