MEMS Sensor Calibration via Electrical State Machines
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Solution Overview
Problem
Existing methods for calibrating Microelectromechanical Systems (MEMS) devices are costly, time-consuming, and require physical testing, which can be damaging and ignores changes in electro-mechanical characteristics over time, leading to potential system malfunctions. Additionally, they often require extensive memory storage and processing power, limiting real-time calibration and maintenance.
Innovation Solution
A system and method for electrical testing and real-time calibration of MEMS devices without external physical forces, allowing for continuous monitoring and recalibration throughout the device's lifetime, using state machines instead of microcontrollers to reduce memory and power requirements, and enabling calibration without storing intermediate data in memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical testing methods are used for calibration, then measurement precision can be achieved, but the process becomes costly and time-consuming
Solution Approach 1:
The patent replaces physical mechanical testing with electrical testing methods. A test signal is applied electrically to the MEMS device, and the electrical response is measured and analyzed to determine calibration parameters, eliminating the need for physical mechanical testing while achieving equivalent or superior calibration accuracy.
Solution Approach 2:
The patent changes the testing parameter from physical mechanical properties to electrical properties. By measuring electrical characteristics such as resonant frequency, quality factor, and impedance in the electrical domain, the system achieves calibration without requiring physical testing equipment and reduces calibration time.
2Measurement precision
If physical testing is used for calibration, then measurement precision is achieved, but device damage risk increases
Solution Approach 1:
The patent substitutes mechanical testing with electrical testing, applying test signals in the electrical domain rather than through physical mechanical means. This eliminates the risk of damaging the delicate MEMS structure while maintaining calibration precision through electrical response analysis.
3Reliability
If real-time calibration is implemented, then reliability improves, but memory storage requirements increase
Solution Approach 1:
The patent implements self-service calibration where the MEMS device calibrates itself using its own electrical response characteristics. The device measures its own resonant frequency and quality factor, and automatically adjusts calibration parameters without requiring external testing equipment or extensive memory storage for calibration data.
Solution Approach 2:
The patent changes from storing extensive calibration data in memory to using real-time electrical measurements. By continuously monitoring electrical characteristics and adjusting calibration parameters dynamically, the system achieves real-time calibration without requiring large memory storage capacity.
4Measurement precision
If extensive processing power is used for calibration, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical testing and processing with simpler electrical measurements. By measuring electrical responses such as resonant frequency and quality factor through standard electrical circuits, the system achieves accurate calibration with minimal processing power and reduced device complexity.
Data Source
AI summary
A sensor system includes a microelectromechanical systems (MEMS) sensor, processing circuitry, measurement circuitry, stimulus circuitry and memory. The system is configured to provide an output responsive to physical displacement within the MEMS sensor to the measurement circuitry. The stimulus circuitry is configured to provide a stimulus signal to the MEMS sensor to cause a physical displacement within the MEMS sensor. The measurement circuitry is configured to process the output from the MEMS sensor and provide it to the processing circuitry, which is configured to generate stimulus signals and provide them to the stimulus circuitry for provision to the MEMS sensor. Output from the measurement circuitry corresponding to the physical displacement occurring in the MEMS sensor is monitored and used to calculate MEMS sensor characteristics. Methods for monitoring and calibrating MEMS sensors are also provided.