Active Suspension Actuator Phase Compensation
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Solution Overview
Problem
Active suspension actuator systems face challenges in controlling dynamics due to inherent compliance and inertia, which affect system response to external stimuli and controller commands, leading to difficulties in isolating elements and maintaining accuracy.
Innovation Solution
An actuator system with a controller that employs a control algorithm to compensate for compliance and inertia effects by using sensors to deliver actuator commands, which involve low pass filtering and phase compensation to improve system accuracy and response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the actuator system uses sensors and control algorithms to compensate for compliance and inertia effects, then the accuracy and response of the system is improved, but the device complexity increases
Solution Approach 1:
The patent employs feedback control by using sensors to detect actuator position, velocity, and acceleration, then feeding this information back to the controller. The controller uses this feedback to calculate compensation forces that counteract compliance and inertia effects, thereby improving accuracy while managing complexity through intelligent control rather than hardware modifications.
Solution Approach 2:
The system dynamically changes control parameters (compensation forces) based on real-time sensor measurements of actuator state and external disturbances. By adjusting these parameters adaptively, the system achieves high accuracy without requiring complex mechanical structures, resolving the contradiction between precision and complexity.
2Object-affected harmful factors
If low pass filtering is applied to the actuator command, then noise is reduced, but phase delay is introduced affecting system response
Solution Approach 1:
The patent applies preliminary anti-action by calculating and applying phase compensation forces before the phase delay fully manifests. The controller predicts the phase shift introduced by low-pass filtering and counteracts it by adjusting the command signal in advance, thereby reducing noise while minimizing the detrimental effects of phase delay on system response.
Data Source
AI summary
At least one controller configured to control an actuator of an active suspension system. The at least one controller includes circuitry configured to determine an actuator state, and apply the actuator state and a commanded state to an inverse model of the actuator to produce an actuator command. The circuitry is configured to produce the actuator command by a process that includes performing low pass filtering and phase compensation to correct a phase introduced by the low pass filtering.