Wireless Device Based on MEMS Sensors and Bluetooth Low Energy (LE/Smart) Technology for Diagnostics of Mechatronic Systems

This paper deals with usability of MEMS sensors for diagnostics of mechatronics system state wirelessly. We can acquire basic kinematics and dynamics mechanism parameters (spatial position, speed, acceleration, vibration, angular rate, orientation, etc.) and some environment condition (local/remote temperature, humidity, pressure, electromagnetic noise) by MEMS sensors. Acquired data are sent to remote application in desktop computer. This system can replace expensive and separate diagnostic tools by small integrated solution with one wireless communication interface (with limitation of MEMS sensors precision). This solution can be battery powered with long operation time, because there is used new wireless technology based on Bluetooth 4 protocol (Low Energy/Smart Bluetooth). Some of integrated MEMS sensors measures same variable on different measuring principle. For example angle can be acquired from three different sensors: magnetometer, accelerometer or gyroscope. Combination of these sensor data can significantly improve value accuracy. The designed diagnostic tool can serve as an inertia measuring unit IMU or Wireless IMU (WIMU).

[1]  Bohumil Sulc,et al.  Dynamic simulation model of PAM based antagonistic actuator , 2011, 2011 12th International Carpathian Control Conference (ICCC).

[2]  Jozef Novak-Marcincin,et al.  Model-based Evolution of a Fast Hybrid Fuzzy Adaptive Controller for a Pneumatic Muscle Actuator , 2012 .

[3]  J. Lenz,et al.  Magnetic sensors and their applications , 2006, IEEE Sensors Journal.

[5]  Andrew G. Dempster,et al.  A low-cost attitude heading reference system by combination of GPS and magnetometers and MEMS inertial sensors for mobile applications , 2006 .

[6]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[7]  Mária Tóthová,et al.  Static and dynamic properties of the pneumatic actuator with artificial muscles , 2012, 2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics.

[8]  Chao Chen,et al.  Study on Parameters of MEMS Accelerometer , 2012 .

[9]  HREHOVA STELLA-VAGASKA ALENA Application of Fuzzy Principles in Evaluating Quality of Manufacturing Process , 2012 .

[10]  František Duchoň,et al.  High Precision GNSS Guidance for Field Mobile Robots , 2012 .

[11]  Ján Piteľ,et al.  Operating Modes of Pneumatic Artificial Muscle Actuator , 2013 .

[12]  Stella Hrehova,et al.  Some Properties of the Pneumatic Artificial Muscle Expressed by the Nonlinear Differential Equation , 2013 .

[13]  Yutaka Hata,et al.  Analyzing 3D Knee Kinematics Using Accelerometers, Gyroscopes and Magnetometers , 2007, 2007 IEEE International Conference on System of Systems Engineering.

[14]  P. Veltink,et al.  Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[15]  Milan Balara The Upgrade Methods of the Pneumatic Actuator Operation Ability , 2013 .

[16]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .