Vibration Measurement of Vehicle LiDAR with VibroMicro VM-S-100
1. Background and Challenges
With the rapid development of autonomous driving technology, LiDAR (Light Detection and Ranging), as a core sensor, its performance stability is crucial for driving safety. During operation, internal scanning components (such as rotating mirrors/MEMS mirrors) generate vibrations that are transmitted to the housing. Excessive housing vibration can lead to:
Optical path deviation, reducing point cloud accuracy and resolution
Shortened lifespan of internal components
Potential loosening of mechanical connections
Traditional measurement challenges:
Contact sensors (accelerometers) alter the dynamic characteristics of lightweight LiDAR housing
Difficult to install sensors in compact spaces
Unable to perform measurements during actual operation on the production line
2. Solution: Non-Contact Vibration Monitoring System
The Dynatronic VibroMicro VM-S-100 Laser Doppler Vibrometer provides an ideal non-contact measurement solution that can accurately monitor LiDAR housing vibration during actual operation.
System Configuration:
Core Sensor: Dynatronic VibroMicro VM-S-100 Laser Doppler Vibrometer
Positioning System: Robotic arm or electric translation stage (for automated detection)
Signal Analysis: Spectral analysis software
Auxiliary Equipment: Vibration isolation platform, optical table
3. Test Method and Process
3.1 Measurement Setup
Fix the LiDAR on a vibration isolation platform
Align the laser beam perpendicular to key measurement areas:
Front window center
Motor/scanning module position
Housing corners and edges
Heat sink area
3.2 Test Procedure
Static Baseline Measurement:
Measure ambient vibration with LiDAR powered off
Record background noise spectrum
Dynamic Operation Measurement:
Start LiDAR in various operating modes:
Standby mode
Low-speed scanning mode
High-speed scanning mode
Maximum load mode
Real-time recording of vibration velocity/displacement data
Multi-point Scanning:
Automatically scan multiple critical points using robotic positioning
Generate vibration distribution cloud maps
4. Results and Analysis
4.1 Vibration Spectrum Characteristics
Characteristic Frequency Identification:
Motor rotation frequency and harmonics
Resonant frequencies of scanning mechanisms
Housing structural resonances
Typical Results:
Healthy LiDAR: Clean spectrum with distinct characteristic peaks
Defective LiDAR: Broadband noise, abnormal harmonics, or shifted resonant frequencies
4.2 Vibration Level Assessment
Qualification Standards:
Displacement amplitude: < 1 μm
Velocity RMS: < 0.5 mm/s
Acceleration: < 0.1 g
Defect Identification:
Unbalanced rotating components
Loose internal connections
Structural cracks or damage
Assembly quality issues
5. Core Advantages
5.1 Non-Contact Measurement
No mass loading effect
No modification to LiDAR structure
Suitable for various housing materials
5.2 High Precision
Nanometer-level displacement resolution
Wide frequency range (DC to 1 MHz)
High signal-to-noise ratio
5.3 Production Line Compatibility
Fast measurement speed (< 10 seconds per unit)
Easy integration with automated systems
Real-time quality monitoring
6. Application Value
6.1 Quality Control
100% online inspection capability
Early detection of manufacturing defects
Reduced product return rates
6.2 Process Optimization
Identify vibration sources
Optimize damping design
Improve structural stiffness
6.3 Reliability Verification
Validate product durability
Support design verification
Accelerate R&D cycles
7. Implementation Example
Test Object: Automotive-grade rotating mirror LiDAR
Measurement Points: 12 key positions
Test Duration: 8 seconds per LiDAR unit
Defect Detection Rate: > 95%
False Positive Rate: < 2%
Conclusion:
The Dynatronic VibroMicro VM-S-100-based vibration monitoring system provides automotive LiDAR manufacturers with an efficient and accurate quality control solution. By enabling non-contact vibration measurement during actual operation, it effectively ensures product performance and reliability while significantly improving production efficiency. This solution is particularly valuable for high-volume production environments where quality consistency is paramount.
