Home

MEMS accelerometer

  • Solutions for Effective Tilt Sensing Using MEMS Accelerometers
    Solutions for Effective Tilt Sensing Using MEMS Accelerometers Dec 23, 2024
    Key Points Product: ACM 1200 High Accuracy MEMS Accelerometer Features: Bias Stability: 100 mg for reliable zero-g offset Resolution: 0.3 mg for precise measurements Temperature Range: Factory calibrated from -40°C to +80°C Applications: Designed for inclination monitoring in hydraulic structures, civil engineering, and infrastructure Advantages: High precision (0.1° tilt accuracy), effective in dynamic environments, addresses key criteria like low noise, repeatability, and cross-axis sensitivity, enhancing long-term reliability and performance in tilt sensing systems. In the field of MEMS systems, capacitive accelerometers have become a cornerstone technology for inclination or tilt sensing. These devices, essential for various industrial and consumer applications, face significant challenges, especially in dynamic environments where vibration and shock are prevalent. Achieving high precision, such as 0.1° tilt accuracy, requires addressing a range of technical specifications and error factors. This article delves into the key criteria and solutions for effective tilt sensing using MEMS accelerometers. 1.Key Criteria for Accurate Tilt Sensing Bias Stability: Bias stability refers to the accelerometer’s ability to maintain a consistent zero-g offset over time. High bias stability ensures that the sensor readings remain reliable and do not drift, which is crucial for maintaining accuracy in tilt measurements.   Offset Over Temperature: Temperature variations can cause shifts in the accelerometer’s zero-g offset. Minimizing these shifts, known as tempco offset, is essential to maintain accuracy across different operating conditions. Low Noise: Noise in sensor readings can significantly affect the accuracy of tilt measurements. Low-noise accelerometers are vital for achieving precise and stable tilt readings, particularly in static environments. Repeatability: Repeatability refers to the sensor’s ability to produce the same output under identical conditions over multiple trials. High repeatability ensures consistent performance, which is critical for reliable tilt sensing. Vibration Rectification: In dynamic environments, vibration can distort tilt data. Effective vibration rectification minimizes the impact of these disturbances, allowing for accurate tilt measurements even when the sensor is subjected to external vibrations. Cross-Axis Sensitivity: This parameter measures how much the sensor output is affected by accelerations perpendicular to the measurement axis. Low cross-axis sensitivity is essential to ensure that the accelerometer responds accurately to tilt along the intended axis only. 2.Challenges in Dynamic Environments Dynamic environments pose significant challenges for MEMS accelerometers in tilt sensing applications. Vibration and shock can introduce errors that corrupt tilt data, leading to significant measurement inaccuracies. For instance, achieving <1° tilt accuracy is extremely challenging in such conditions, while attaining >1° accuracy is more feasible. Understanding the sensor’s performance and the application’s environmental conditions is crucial to optimizing tilt measurement accuracy. 3.Error Sources and Mitigation Strategies Several error sources can affect the accuracy of MEMS accelerometers in tilt sensing:   Zero-g Bias Accuracy and Shift: Zero-g bias errors can arise from soldering, PCB enclosure alignment, and temperature changes. Postassembly calibration can reduce these errors. Sensitivity Accuracy and Tempco: Variations in sensitivity due to temperature changes must be minimized to ensure accurate readings. Nonlinearity: Nonlinear responses can distort measurements and need to be corrected through calibration. Hysteresis and Long-Term Stability: Hysteresis and stability over the sensor’s lifetime can impact accuracy. These issues are often addressed through high-quality manufacturing and design practices. Humidity and PCB Bending: Environmental factors such as humidity and mechanical stresses from PCB bending can introduce additional errors. In-situ servicing and environmental controls are necessary to mitigate these effects. For example, the ACM 1200 High Accuracy MEMS Accelerometer is tailored specifically for inclination applications. It boasts the bias stability of 100 mg and resolution of 0.3 mg The factory calibration characterizes the entire sensor signal chain for sensitivity and bias over a specified temperature range (typically −40°C to +80°C), ensuring high precision and reliability upon installation. It is suitable for long-term installation in hydraulic structures such as concrete dams, panel dams, and earth-rock dams, as well as in civil and industrial buildings, roads, bridges, tunnels, roadbeds, and civil engineering foundations. It facilitates the measurement of inclination changes and enables the automated collection of measurement data. 4. Conclusion MEMS capacitive accelerometers are pivotal in achieving accurate tilt sensing, but they must overcome various challenges, especially in dynamic environments. Key criteria such as bias stability, offset over temperature, low noise, repeatability, vibration rectification, and cross-axis sensitivity play critical roles in ensuring precise measurements. Addressing error sources through calibration and employing integrated solutions like iSensors can significantly enhance the performance and reliability of tilt sensing systems. As technology advances, these sensors will continue to evolve, offering even greater accuracy and robustness for a wide range of applications.   ACM1200 High Performance Industry Current Type Mems Accelerometer Sensor Factory    
  • Analysis of Mid-Low Precision FOG IMU Inertial Measurement System | Guide to Fiber Optic Gyro Navigation Scheme
    Analysis of Mid-Low Precision FOG IMU Inertial Measurement System | Guide to Fiber Optic Gyro Navigation Scheme Apr 01, 2025
    Discover the mid-low precision FOG IMU system: a cost-effective, shock-resistant inertial navigation solution for UAVs, robotics, and marine applications. Learn about its modular design, quick startup, and high stability. In the fields of unmanned systems, intelligent manufacturing, and precise control, the inertial measurement unit (IMU) is becoming a crucial "invisible technology". Today, we will take you to deeply understand a solution that performs well in actual projects - a mid-low precision FOG IMU system designed based on open-loop fiber optic gyroscope (FOG) and MEMS accelerometer.This is not only an inertial sensing device, but also a perfect balance between miniaturization, high cost-effectiveness, and precise navigation. 1. Why Choose FOG IMU? As the traditional platform-based inertial navigation systems are gradually fading from the historical stage, strapdown inertial navigation systems (SINS) have become mainstream relying on mathematical modeling and digital computing.So, what are the core advantages of FOG IMU?(1) Resistance to shock and interference: Fiber optic gyros are naturally shock-resistant and can withstand high G forces, making them particularly suitable for harsh environments.(2) Quick startup: No need for complex initialization; plug and play once powered on.(3) Precise and cost-effective: While meeting navigation requirements, it also controls costs.(4) Easy integration: Small size, low power consumption, and easy embedding.Therefore, it is widely applied in fields such as unmanned aerial vehicles, robots, vehicle-mounted systems, and maritime navigation. 2. Highlights of System Architecture This FOG IMU adopts a modular design, consisting of a three-axis fiber optic gyroscope, a three-axis MEMS accelerometer, a data acquisition module, and a high-speed DSP, supplemented by temperature compensation and error modeling algorithms, to achieve stable output.The six sensitive axes are arranged in three-dimensional orthogonal manner, combined with a software compensation mechanism, to eliminate the influence of structural errors on navigation accuracy.Moreover, this system has also been verified through simulation, ensuring that it still meets the required accuracy for navigation calculations even when using low-precision sensors. 3. Data Acquisition Module: The "Neural Center" of IMU We have specially optimized the data acquisition link:(1) Analog signal conditioning: Two-stage amplification + analog filter, enhancing signal clarity.(2) High-precision ADC sampling: 10ms update cycle, ensuring rapid system response.(3) Temperature compensation channel: Integrated chip and environmental temperature monitoring, achieving full environmental adaptability.This module plays a crucial role in enhancing the overall accuracy of the system. 4. Performance and Real-World Feedback After the prototype deployment and system testing, the performance of this FOG IMU system is as follows:(1) Excellent stability of attitude angles(2) Static errors within the controllable range(3) Strong anti-interference performance, capable of adapting to rapid dynamic changesCurrently, this system has been put into use in a certain type of robot navigation platform, and the feedback is consistent and good. 5. Application Domain Outlook The FOG IMU system is ready to be applied in the following scenarios:(1) Navigation for unmanned aircraft and unmanned vehicles(2) Marine measurement systems(3) Industrial automation equipment(4) Attitude control for low-orbit satellites(5) Intelligent robots and precise positioningIn the future, we will also launch an upgraded version of the FOG IMU tailored for high-precision requirements such as UF-100A. Stay tuned for more updates!   UF100A Middle Precision Fiber Optic Gyroscope Based IMU    
Subscibe To Newsletter
Please read on, stay posted, subscribe, and we welcome you to tell us what you think.
f y

leave a message

leave a message
If you are interested in our products and want to know more details,please leave a message here,we will reply you as soon as we can.
submit

home

products

WhatsApp

Contact Us