Design of AHRS for Quadrator Control using Digital Motion Processor

Andi Adriansyah Musaab, Badaruddin Sulle, Anwar Minarso

Abstract


Quadrotor is one type of UAV (Unmanned Aerial Vehicle) that uses four motors to drive the propellers. Commonly, quadrotor has inertial sensors or Inertia Movement Unit (IMU), which is a source of data to obtain information attitudes and three-dimension orientation or socalled Attitude Heading Reference System (AHRS). This study used Digital Motion Processor (DMP) technology that can perform filter process and an accurate calculation AHRS independently by reducing the calculation process on the microcontroller. The data generated from the DMP were in the form of four-dimensional quaternion and filtered data sensor. In this paper, the discussion focuses on the DMP technique and AHRS comparison. Hardware design, embedded systems and data communication were also included to complete the overall system design quadrotor. The results show that angular position measurements of DMP have less noise than the direct measurement of sensor accelerometer and gyroscope. AHRS obtained from DMP has similar result with the calculation result of Mahony’s AHRS algorithm and Madgwick’s AHRS algorithm. The proposed design utilizes the DMP technology capable to control quadrotor well.

Keywords


Quadrotor; Attitude Heading Reference System; Digital Motion Processor;

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References


Ryll, M. and Bulthoff, H. 2015. A Novel Overactuated Quadrotor Unmanned Aerial Vehicle: Modeling, Control, and Experimental Validation. IEEE Transaction on Control Systems Technology. 23(2): 540-556.

Jun, J., Juntong, Q., Dalei, S., and Jianda, J. 2013. Control Paltform Design and Experiment of A Quadrotor. Chinese Control Conference. 2974-2979.

Khan, M. 2014. Quadcopter Flight Dynamic. International Journal of Science and Technology Research. 130-135.

Jiang, Q., Zeng,Y., Liu, Q. and Jing, H. 2012. Attitude and Heading Reference System for Quadrating Based on MEMS Sensor. 2012 2nd International Conference on Instrumentation & Measurement, Computer, Communication and Control. 1090-1093.

Premerlani, W. and Paul Bizard. 2009. Direction Cosine Matrix IMU: Theory. Tech. Rep. 8-20.

Euston, M., P. Coote, R. Mahony, J. Kim and T. Hamel. 2008. A complementary filter for attitude estimation of a fixed-wing UAV. IEEE/RSJ International Conference on Intelligent Robots and Systems IROS 2008. 340-345.

Denti, E., Galatolo, R. And Schettini, F. 2010. An AHRS Based on

A Kalman Filter for The Integration of Inertial, Magnetometric and GPS Data. 27th International Congress Of The Aeronautical Sciences. 1-9.

Madgwick, S. O. 2010. An efficient orientation filter for inertial and inertial/magnetic sensor arrays. Report x-io and University of Bristol. 1-32.

Mahony, R., T. Hamel and J. M. Pflimlin. 2008. Nonlinear

complementary filters on the special orthogonal group. IEEE Transactions on Automatic Control. 53: 5. 1203-1218.

Navajas, G. Tuta and S. Roa Prada. 2014. Building Your Own Quadrotor: A Mechatronics System Design Case Study. International Conference on Engineering Mechatronics and Automation. 1-5.

Fresk, E. 2013. Full quaternion based attitude control for a quadrotor. 2013 European Control Conference. 3864-3869.

Sorensen, A. 2010. Autonomous control of a miniature quadrotor following fast trajectories. Aalborg University, Denmark.

Jiang, Q., Zeng,Y., Liu, Q. and Jing, H. 2012. Attitude and Heading Reference System for Quadrating Based on MEMS Sensor. 2012 2nd International Conference on Instrumentation & Measurement, Computer, Communication and Control. 1090-1093.


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ISSN: 2180-1843

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