Wireless Sensor Network for Temperature Estimations in an Asynchronous Machine Using a Kalman Filter |
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| Yi Huang, Clemens Gühmann |
- Abstract:
- A 4th-order Kalman filter (KF) algorithm is implemented in a wireless sensor network (WSN) to estimate the temperatures of the stator windings, the rotor cage and the stator core of an asynchronous machine. The rotor speed, coolant air temperature, and the effective current and voltage are acquired by wireless transducer interface modules (WTIM) separately and are transmitted to a network capable application processor (NCAP) where the KF algorithm is implemented. The losses are calculated from the measurement and are processed together with the coolant air temperature by KF algorithm. As the resistance varies with the temperature, the rising resistance is compensated by the estimated stator windings temperature. Simulations and experiments were performed quite well on the test bench before the KF algorithm was implemented on a wireless sensor network. The real-time WSN temperature estimation system is independent from the control algorithm and can work under any load condition with very high accuracy.
- Download:
- IMEKO-TC10-2017-017.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC10
- Event name:
- TC10 Workshop on Technical Diagnostics 2017
- Title:
15th IMEKO TC10 Workshop "Technical Diagnostics in Cyber-Physical Era"
- Place:
- Budapest, HUNGARY
- Time:
- 06 June 2017 - 07 June 2017