Professional MEMS Tools: ST MEMS Adapter Board based on STM32F401VE and compatible with all ST MEMS adapters
Common robotic arm controls are developed from CNC, emphasizing constant speed and stability in the motion process. Many controllers use hybrid PID for speed control, which generates great acceleration during the startup phase in order to quickly reach the set speed. Due to the solid state of the solid itself Stiffness, this drastic speed change is very effective for CNC machining scenarios or general solid handling scenarios. However, it will have a huge impact in liquid handling scenarios, so new control methods need to be proposed. This control method must control the acceleration
3D digital accelerometer sensor kit based on LIS25BA
MiniQ is a mini quadcopter that is open source from hardware design to control algorithm. The algorithm used for the Altitude Heading Reference System (AHRS) is the DCM complementary filter. The system calculates the height and controls the output PWM of the four motors 1600 times per second. It can be controlled remotely via Bluetooth (Bluetooth Serial Port Profile).
Using the wearable sensor function of SensorTile.box, you can intuitively observe your movements and training conditions through curves when doing push-ups and planks.
LSM330D adapter board for standard DIL24 socket
Digital MEMS microphone expansion board based on MP34DT06J for STM32 Nucleo
LSM330DLC adapter board for standard DIL24 socket
This work monitors the child's sitting posture when writing. When the child sits upright, no prompt is generated. When the child lowers his head, the sensor light flashes to signal an alarm!
Adapter board for standard DIL24 socket based on LSM6DSOX and LIS2MDL in sensor hub mode
This project uses the LSM6DSOX+STEVAL-MKI109V3 mode for preliminary sensor learning and research, mainly from training the acceleration sensor to detect vibration and recording vibration waveforms, training the gyroscope sensor to detect the vibration direction and offset, and recording the waveform for analysis; combined with the acceleration sensor and the action data of the gyroscope sensor can determine the vibration intensity and direction of the wind turbine tower under various working conditions; in practical applications, the LSM6DSOX sensor is combined with the low-power chip STM32L010RBT6 chip, and the main control board on the local side leads to an alarm relay. The outlet is used for alarm output on the wind turbine tower side. It is connected to the wind turbine scada system through 485 serial port communication to upload the recorded data on the local side to provide real-time feedback on the working status of the wind turbine tower. It can be used to analyze the vibration reverse and wind turbine tower vibration. Swing direction recording can also record and analyze the natural frequency of the wind turbine tower under normal conditions and the natural frequency during faults. The multi-faceted data forms a wind turbine tower disaster warning system that can be sensed in advance;
Can measure DC/AC voltage, DC/AC current, resistance, inductance, capacitance, diode, frequency. Built-in 16bit ADC, digital filter, RMS effective value circuit and peak hold circuit. Multimeter control unit integrated with microcontroller, officially launched reference design kit, powered by button battery, including schematic diagram.
Ultra-stable 3-axis gyroscope based on L3GD20
ASM330LHH adapter board for standard DIL24 socket
LSM6DS3 adapter board for standard DIL24 socket
LPS25H adapter board for standard DIL24 socket
The STEVAL-MKI216V1K evaluation board has an embedded IIS3DHHC 3D accelerometer sensor, which is connected via cable to a simple adapter board (STEVAL-MKIGIBV5) to render it compatible with STEVAL-MKI109V3 motherboards.
LIS3DH adapter board for standard DIL 24 sockets
3-axis digital accelerometer sensor kit based on IIS3DWB