The 4 th -order Kalman filter (KF) algorithm is implemented in the wireless sensor node to estimate the temperatures of the stator winding, the rotor cage and the stator core in the induction machine. Three separate wireless sensor nodes are used to acquire and preprocess the input signals. The hall sensors are used to acquire the three-phase stator currents and voltages of the induction machine. All of them are processed to Root-Mean-Square (RMS) in ampere and volt. A rotary encoder is mounted for the rotor speed and PT1000 is used for the temperature of the coolant air. The processed signals in the physical unit are transmitted wirelessly to the host wireless sensor node, where the KF is implemented with fixed-point arithmetic in Contiki OS. Compared to the floating-point implementation, the fixed-point implementation has the same estimation accuracy of 97% at only about one-fifth of computation time. Temperatures of the machine could be monitored by an App on a smart phone with internet.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.