SYSTEM AND METHOD OF SENSING ATTITUDE AND ANGULAR RATE USING A MAGNETIC FIELD SENSOR AND ACCELEROMETER FOR PORTABLE ELECTRONIC DEVICES

• US 20110307213A1
• Filed: 07/28/2011
• Published: 12/15/2011
• Est. Priority Date: 07/10/2006
• Status: Abandoned Application

• Current Assignee: Memsic Incorporated (MZ Investment Holdings Ltd.)
• Original Assignee: Memsic Incorporated (MZ Investment Holdings Ltd.)
• Inventors: Zhao, Yang, An, Dong
• Application Number:
  US13/193,139
• Publication Number:
  US 20110307213A1
• Time in Patent Office: Days
• US Class Current: 702/153
• CPC Class Codes: G01C 17/30 Earth-inductor compasses
• CPC Class Codes: G06F 1/1626 with a single-body enclosure integrating a flat display, e.g. Personal Digital Assistants [PDAs]
• CPC Class Codes: G06F 1/1694 the I/O peripheral being a single or a set of motion sensors for pointer control or gesture input obtained by sensing movements of the portable computer
• CPC Class Codes: G06F 2200/1637 Sensing arrangement for detection of housing movement or orientation, e.g. for controlling scrolling or cursor movement on the display of an handheld computer

Abstract

A system for determining motion information including attitude and angular rate of a dynamic object. The system includes a magnetic-field sensing device to measure in the body coordinate frame of reference an intensity and/or direction of a magnetic field in three substantially orthogonal directions; an acceleration-sensing device adapted to measure total acceleration of the object in the body coordinate frame of reference; and a processor adapted to calculate attitude and angular rate by combining total acceleration measurement data and magnetic field measurement data with the kinematic model in a filter.

Claims

1. A method for determining motion information including attitude and angular rate of a dynamic object, the attitude including dynamic roll, dynamic pitch, and dynamic yaw measurements of the dynamic object, the method comprising:

providing a sensing device having a three-axis acceleration sensor and a three-axis magnetic field sensor;

measuring in a body coordinate frame of reference at least one of an intensity and a direction of a magnetic field in three orthogonal or substantially orthogonal directions using the magnetic field sensor;

measuring a total acceleration of the object in the body coordinate frame of reference using the acceleration sensor; and

combining in a filter the at least one of an intensity and a direction of a magnetic field in three orthogonal or substantially orthogonal directions and the total acceleration with a kinematic model of attitude and angular rate of the object, to calculate attitude and angular rate.

2. The method as recited in claim 1, wherein the filter is a first attitude and angular rate filter having a gain and having a state equation including an attitude quaternion differential equation and an angular rate kinematics differential equation.

3. The method as recited in claim 2, wherein the angular rate kinematics differential equation of the object is modeled as a first-order Markov process.

4. The method as recited in claim 2, wherein the first attitude and angular rate filter uses pseudo-roll, pseudo-pitch, and pseudo-heading as a measurement vector and a relationship of a attitude quaternion and roll/pitch/yaw as a measurement equation,

wherein the pseudo-roll and pseudo-pitch are computed using total acceleration and the pseudo-heading is computed using magnetic field measurements that are transformed from the body coordinate frame of reference to a local level frame of reference.

5. The method as recited in claim 4 further comprising performing measurement update of the state vector when a measurement vector is available.

6. The method as recited in claim 5 further comprising performing time propagation of the state vector between filter measurements.

7. The method as recited in claim 4 further comprising adjusting the gain of the first attitude and angular rate filter to reduce measurement update when the object experiences an acceleration disturbance or a magnetic field disturbance.

8. The method as recited in claim 1, wherein the filter is a second attitude and angular rate filter having a gain and having a state equation including an attitude quaternion differential equation, an angular rate kinematics differential equation of the object, and an error model equation for the magnetic field sensor.

9. The method as recited in claim 8, wherein errors of the magnetic field sensor are modeled as constant values.

10. The method as recited in claim 8, wherein the second attitude and angular rate filter uses the magnetic field measurements from the three-axis magnetic field sensor and acceleration measurements from the three-axis acceleration sensor as the filter'"'"'s measurement vector and employs transformation equations of the magnetic field vector and acceleration vector from the local navigation tangent frame of reference to the body coordinate frame of reference as the filter'"'"'s measurement model equation, wherein the magnetic field vector in the local navigation tangent frame of reference is known.

11. The method as recited in claim 10 further comprising performing measurement update of a state vector when a measurement vector is available.

12. The method as recited in claim 11 further comprising performing time propagation of the state vector between filter measurements.

13. The method as recited in claim 10 further comprising adjusting the gain of the second attitude and angular rate filter to reduce measurement update when the object experiences an acceleration disturbance or magnetic field disturbance.

14. The method as recited in claim 1 further comprising using a Global Positioning System (GPS) receiver to determine a position of the object, the position including a longitude, a latitude, and an altitude.

15. The method as recited in claim 14 further comprising providing a local magnetic field vector expressed in the local navigation tangent frame of reference using the longitude, the latitude, and the altitude in combination with a World Magnetic Model.

16. The method as recited in claim 1, further including a step to automatically calibrate the three-axis magnetic field sensor by estimating error source including hard/soft iron distortion items of environment, wherein the estimation is based on the principle that a length of an error-free local magnetic field vector is a constant.

17. The method as recited in claim 1, further including a step to automatically calibrate the three-axis acceleration sensor by estimating error sources of the three-axis acceleration, wherein the estimation is based on the principle that an error-free acceleration measurement, when the object is static, is gravitational acceleration only.

18. A system for determining motion information including attitude and angular rate of a dynamic object comprising:

a magnetic field sensor that is adapted to measure in a body coordinate frame of reference at least one of an intensity and a direction of a magnetic field in three orthogonal or substantially orthogonal directions;

an acceleration sensor that is adapted to measure total acceleration of the object in the body coordinate frame of reference; and

a processor that is adapted to calculate attitude and angular rate by combining in a filter total acceleration measurement data and magnetic field measurement data with a kinematic model of attitude and angular rate of the object.

19. The system as recited in claim 18, wherein the filter is a first attitude and angular rate filter having a gain and having a system state equation including an attitude quaternion differential equation and an angular rate kinematics differential equation of the object.

20. The system as recited in claim 19, wherein the angular rate kinematics differential equation of the object is modeled as a first-order Markov process.

21. The system as recited in claim 19, wherein the first attitude and angular rate filter uses pseudo-roll, pseudo-pitch, and pseudo-heading angles as the filter'"'"'s measurement vector and a relationship between the attitude quaternion and roll, pitch, and yaw angles as the filter'"'"'s measurement equation, wherein the pseudo-roll and pseudo-pitch are computed using total acceleration and the pseudo-heading is computed using magnetic field measurements that are transformed from the coordinate body frame of reference to a local level frame of reference.

22. The system as recited in claim 19, wherein the filter performs measurement update of a state vector when the measurement vector is available.

23. The system as recited in claim 22, wherein the filter performs time propagation of the state vector between filter measurements.

24. The system as recited in claim 18, wherein the processor is structured and arranged to automatically calibrate the three-axis magnetic field sensor by estimating an error source that includes hard/soft iron distortions of the magnetic filed from the surrounding environment of the three-axis magnetic filed sensor, wherein the error source estimation is based on the principle that a length of an error-free local magnetic field vector is a constant.

25. The system as recited in claim 22, wherein the filter further adjusts the gain of the first attitude and angular rate filter to reduce the measurement update when the object experiences an acceleration or magnetic field disturbance.

26. The system as recited in claim 18, wherein the filter is a second attitude and angular rate filter having a gain and having a state equation including an attitude quaternion differential equation, an angular rate kinematics differential equation of the object, and an error model equation of the three-axis magnetic field sensor.

27. The system as recited in claim 26, wherein the second attitude and angular rate filter uses the magnetic field measurements from the three-axis magnetic field sensor and acceleration measurements from the three-axis acceleration sensor as the filter'"'"'s measurement vector and employs the transformation equations of a magnetic field vector and an acceleration vector from the local navigation tangent frame of reference to the body coordinate frame of reference as the filter'"'"'s measurement model equation,

wherein the magnetic field vector in the local navigation tangent frame of reference is known.

28. The system as recited in claim 18 further comprising a Global Positioning System (GPS) receiver that is adapted to determine a position of the object, the position including a longitude, a latitude, and an altitude.

29. The system as recited in claim 28 further comprising means for providing the magnetic field vector in the local navigation tangent frame of reference using the longitude, the latitude, and the altitude in combination with a World Magnetic Model.