Improving uptime in industrial robotic systems: Page 4 of 6

October 05, 2018 //By Clemens Müller
Improving uptime in industrial robotic systems
Machine maintenance can sometimes seem like a black arts. A seemingly reliable machine suddenly stops working and, despite everyone’s best efforts, cannot be brought back to life. Along comes a member of the maintenance team and, after some beard scratching, tinkering inside the machine and a few words of encouragement, the machine springs back to life.

Fig. 4: The GMR resistors of the TLI5012B E1000
are oriented in such a way as to minimize
temperature effects. The X and Y axis signals
are then converted into a 360° angle.

The TLI5012B E1000 is just such a device, delivered as a pre-calibrated solution. The integrated GMR sensors are implemented in a full-bridge structure that ensures the maximum signal is available. This design also ensures that temperature effects on the individual sensors cancel each other out. An SPI compatible interface can be used to connect it with a microcontroller, providing access to the measurements calculated and the configuration registers.

A further integration feature of many sensors is a temperature measurement block. Devices such as the DPS310 digital barometric pressure sensors incorporate temperature sensing, negating the need to implement this function separately.

Compact audio sensing can be integrated through the use of microelectromechanical solutions, such as MEMS microphones. Integrated with analog-to-digital (ADC) converters and digital signal processing, they can also be integrated into the flow of digital data collection. The IM69D130 provides excellent sensitivity (+/- 1 dB) and a flat frequency response with low frequency roll of at 28 kHz. It is also suitable for noisy manufacturing environments with its Acoustic Overload Point of 130 dB SPL.

Fig. 5: MEMS microphones, such as the IM69D130,
deliver an impressive Acoustic Overload Point of
130dB SPL.

To be of use, all this data needs to be collected and evaluated in real time to highlight potential mechanical failure. Furthermore, the integration needs to build upon existing Industry 4.0 networking technologies. Microcontrollers such as the XMC4000 family provide the low-level digital interfaces required to communicate with digital sensor technology. Additionally, they also support the industrial networking communication protocols, such as EtherCAT, required to integrate into industrial systems.

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