.cargo | ||
examples | ||
src | ||
.gitignore | ||
Cargo.toml | ||
LICENSE | ||
Makefile | ||
README.md |
mpu6050

no_std driver for the MPU6050 6-axis IMU
Datasheet | Register Map Sheet
Visualization options for testing and development in viz branch
Basic usage
linux_embedded_hal
example
use mpu6050::*;
use linux_embedded_hal::{I2cdev, Delay};
use i2cdev::linux::LinuxI2CError;
fn main() -> Result<(), Error<LinuxI2CError>> {
let i2c = I2cdev::new("/dev/i2c-1")
.map_err(Error::I2c)?;
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);
}
}
Compile linux example (Raspberry Pi 3B)
Requirements:
$ apt-get install -qq gcc-arm-linux-gnueabihf libc6-armhf-cross libc6-dev-armhf-cross
Rustup:
$ rustup target add armv7-unknown-linux-gnueabihf
To configure the linker use .cargo/config
file
cross-compile with
$ cargo build --examples --target=armv7-unknown-linux-gnueabihf
TODO
- init with default settings
- init with custom settings
- custom sensitivity
- custom device initialization
- device verification
- basic feature support as described here
- read gyro data
- read acc data
- software calibration
- software measurement variance estimation
- roll, pitch estimation accelerometer only
- read temp data
- rename constants to better match datasheet
- complementary filter for roll, pitch estimate, possible on device?
- sample rate devider with register 25? or timer/clock control with PWR_MGMT_2
- internal clock, register 108
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 LP_WAKE_CTRL (page 41-43)
- internal clock, register 108
- plotting csv datafor testing? -> See viz branch