Multi-DOF Active Damping Control for Low-Frequency Vibrations
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Solution Overview
Problem
Existing active damping mechanisms fail to effectively address large amplitude low-frequency vibrations, especially in poor road conditions, leading to instability and potential safety risks, and lack precision in dynamics modeling for real-time control, resulting in unsatisfactory damping effects.
Innovation Solution
A multi-degree-of-freedom active damping mechanism control method that utilizes visual sensors to predict road conditions ahead, processes the data using computer vision, and sends control instructions in advance to actively dampen vibrations, combined with adaptive control algorithms and skyhook damping to correct load inertia and adjust platform positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If acceleration compensation damping method is used in active damping mechanisms, then response speed is improved, but damping effect deteriorates due to ignoring attitude changes
Solution Approach 1:
The patent extends the damping control from one-dimensional acceleration compensation to multi-dimensional control by incorporating attitude angle measurements (pitch and roll angles) alongside acceleration data. The control system processes both linear acceleration and angular orientation information to generate comprehensive compensation forces, addressing the limitation of ignoring attitude changes in traditional acceleration-only compensation methods.
2Reliability
If precise dynamics model is used for active damping mechanism control, then control effect is improved, but system complexity increases making it unsuitable for real-time embedded systems
Solution Approach 1:
The patent transforms the complex precise dynamics model into a simplified control model by changing the mathematical parameters and assumptions. The system uses simplified dynamic equations with reduced complexity while retaining the essential characteristics needed for effective control. This parameter transformation enables real-time computation in embedded systems while preserving adequate control performance.
Solution Approach 2:
The patent implements partial modeling where only the most critical dynamic characteristics are included in the control model, rather than attempting to model all aspects of the system dynamics. This partial action approach captures the dominant vibration modes and control requirements sufficient for effective active damping while keeping the model simple enough for real-time embedded implementation.
Data Source
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AI summary
A multi-degree-of-freedom active damping mechanism control method, system and a damping mechanism are provided. A skyhook active damping control algorithm is used for controlling an electric cylinder output force in a vertical damping direction, and an adaptive control algorithm with an adaptive rate is used for correcting a load moment of inertia in pitch and roll damping directions. At the same time, a predictive model is established according to a task space linearization equation near an equilibrium point, and states of the system at N future moments are predicted in advance at each moment to achieve optimal control under complex constraints and reduce the influence of system delay. At the same time, the three control methods may further improve the active damping effect of the damping device by combining road information obtained by a visual sensor in real time.