Inertial Measurement Unit (IMU)
Python Example
Device Compatibility
Overview
The IMU driver reports values for:
- Yaw, Pitch, and Roll
- Acceleration for x, y, z axes
- Gyroscope for x, y, z axes
- Magnetometer for x, y, z axes
Available ZeroMQ Ports
Base port
: 20013Keep-alive port
: 20014Error port
: 20015Data Update port
: 20016
Code Example
The following sections show how to implement a connection to each of the IMU driver's ports. You can download this example here.
Initial Variables
Before we go into connecting to each port, the variables defined below are needed in order to access the ZeroMQ and MATRIX Protocol Buffer libraries for Python. We also define a few helpful variables for easy references.
import os # Miscellaneous operating system interface import zmq # Asynchronous messaging framework import time # Time access and conversions import sys # System-specific parameters and functions from matrix_io.proto.malos.v1 import driver_pb2 # MATRIX Protocol Buffer driver library from matrix_io.proto.malos.v1 import sense_pb2 # MATRIX Protocol Buffer sensor library from multiprocessing import Process # Allow for multiple processes at once from zmq.eventloop import ioloop # Asynchronous events through ZMQ matrix_ip = '127.0.0.1' # Local device ip imu_port = 20013 # Driver Base port # Handy functions for connecting to the keep-Alive, Data Update, & Error port from utils import driver_keep_alive, register_data_callback, register_error_callback
Base Port
Here is where the configuration for our IMU example goes. Once we connect to the Base Port, we will pass a configuration to the IMU driver. With this we can set the update rate, timeout, and temperature configuration.
def config_socket(): # Define zmq socket context = zmq.Context() # Create a Pusher socket socket = context.socket(zmq.PUSH) # Connect Pusher to configuration socket socket.connect('tcp://{0}:{1}'.format(matrix_ip, imu_port)) # Create a new driver config driver_config_proto = driver_pb2.DriverConfig() # Delay between updates in seconds driver_config_proto.delay_between_updates = 0.05 # Timeout after last ping driver_config_proto.timeout_after_last_ping = 6.0 # Send driver configuration through ZMQ socket socket.send(driver_config_proto.SerializeToString())
Keep-alive Port
The next step is to connect and send a message to the Keep-alive Port. That message will grant us a response from the Data Update Port for the current IMU value. The utils import
from the Initial Variables section takes care of this.
Error Port
The Error Port connection is also taken care of by the utils import
. Below we define a function to be called and given any error messages that occur within MATRIX CORE.
def imu_error_callback(error): # Log error print('{0}'.format(error))
Data Update Port
A connection to the Data Update Port will allow us to receive the current IMU data we want. The utils import
takes care of this as well. We can define a function and expect IMU data to be passed to it.
def imu_data_callback(data): # Extract data data = sense_pb2.Imu().FromString(data[0]) # Log data print('{0}'.format(data))
Data Output
The Python object below is an example output you'll receive from the Data Update Port.yaw: 151.336044312 roll: 0.174327388406 accel_y: 0.00300000002608 accel_z: 0.986000001431 gyro_x: 2.58599996567 gyro_y: 0.0289999991655 gyro_z: 0.84399998188 mag_x: 0.300000011921 mag_y: 0.16400000453 mag_z: -0.0780000016093
Start Processes
This is where we begin the asynchronous events for each of the driver ports and where we define the functions we want to use for each port.
if __name__ == '__main__': # Initiate asynchronous events ioloop.install() # Send Base Port configuration config_socket() # Start Error Port connection Process(target=register_error_callback, args=(imu_error_callback, matrix_ip, imu_port)).start() # Start Data Update Port connection Process(target=register_data_callback, args=(imu_data_callback, matrix_ip, imu_port)).start() # Start Keep-alive Port connection Process(target=driver_keep_alive, args=(matrix_ip, imu_port)).start()