mpu6050
no_std driver for the MPU6050 6-axis IMU
Datasheet | Register Map Sheet
Visualization options for testing and development in viz branch
linux_embedded_hal
example
```rust
use mpu6050::*;
use linuxembeddedhal::{I2cdev, Delay};
use i2cdev::linux::LinuxI2CError;
fn main() -> Result<(), Mpu6050Error
let delay = Delay;
let mut mpu = Mpu6050::new(i2c, delay);
mpu.init()?;
mpu.soft_calib(Steps(100))?;
mpu.calc_variance(Steps(50))?;
println!("Calibrated with bias: {:?}", mpu.get_bias().unwrap());
println!("Calculated variance: {:?}", mpu.get_variance().unwrap());
loop {
// get roll and pitch estimate
let acc = mpu.get_acc_angles()?;
println!("r/p: {}", acc);
// get roll and pitch estimate - averaged accross n readings (steps)
let acc = mpu.get_acc_angles_avg(Steps(5))?;
println!("r/p avg: {}", acc);
// get temp
let temp = mpu.get_temp()?;
println!("temp: {}c", temp);
// get temp - averages across n readings (steps)
let temp = mpu.get_temp_avg(Steps(5))?;
println!("temp avg: {}c", temp);
// get gyro data, scaled with sensitivity
let gyro = mpu.get_gyro()?;
println!("gyro: {}", gyro);
// get gyro data, scaled with sensitivity - averaged across n readings (steps)
let gyro = mpu.get_gyro_avg(Steps(5))?;
println!("gyro avg: {}", gyro);
// get accelerometer data, scaled with sensitivity
let acc = mpu.get_acc()?;
println!("acc: {}", acc);
// get accelerometer data, scaled with sensitivity - averages across n readings (steps)
let acc = mpu.get_acc_avg(Steps(5))?;
println!("acc avg: {}", acc);
}
} ```
Requirements:
bash
$ apt-get install -qq gcc-arm-linux-gnueabihf libc6-armhf-cross libc6-dev-armhf-cross
Rustup:
bash
$ rustup target add armv7-unknown-linux-gnueabihf
To configure the linker use .cargo/config
file
cross-compile with
bash
$ cargo build --examples --target=armv7-unknown-linux-gnueabihf
POWER_MGMT_2
, will cycle between sleep mode and waking up to take a single sample of data from active sensors at a rate determined by LPWAKECTRL (page 41-43)