Active Damping Mechanism Control for Pitch, Roll, and Road Vibration
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Solution Overview
Problem
Existing active damping mechanisms in vehicles and vessels fail to effectively mitigate high-frequency vibrations and maintain stability, particularly in rough conditions, due to imprecise dynamics models, slow response speeds, and inadequate consideration of attitude changes, leading to potential safety risks and damage.
Innovation Solution
A multi-degree-of-freedom active damping mechanism control method that utilizes real-time visual sensing to predict road conditions, processes the data using computer vision, and adjusts the damping system in advance to compensate for anticipated vibrations, incorporating adaptive control algorithms and a skyhook damping control algorithm to manage load inertia and electric cylinder forces.
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 integrates multiple damping functions into a unified active damping system that simultaneously handles acceleration compensation and attitude change compensation. The system uses multiple sensors to detect both linear acceleration and angular attitude, and the controller coordinates multiple actuators to provide comprehensive vibration suppression that addresses both translational and rotational vibrations.
2Reliability
If precise dynamics model is used for active damping mechanism control, then control effect is improved, but system complexity deteriorates
Solution Approach 1:
The patent replaces complex mechanical dynamics modeling with a data-driven or simplified control approach. Instead of relying on precise analytical dynamics models that require extensive system parameters and complex calculations, the system uses sensor feedback and control algorithms that are computationally simpler and more suitable for embedded real-time control systems.
3Reliability
If visual sensors and predictive models are used to anticipate road conditions, then damping effectiveness is improved, but system complexity and computational load deteriorate
Solution Approach 1:
The patent uses visual sensors to detect road conditions ahead of the vehicle and predictive models to anticipate upcoming vibrations. This allows the active damping system to prepare and apply damping forces before the vibrations occur, improving effectiveness. The system processes visual data through algorithms that identify road features and predict their impact, enabling proactive rather than reactive damping control.
Data Source
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.