PROJECT TITLE :

Improving Position Sensor Accuracy Through Spatial Harmonic Decoupling, and Sensor Scaling, Offset, and Orthogonality Correction Using Self-Commissioning MRAS Methods

ABSTRACT:

This paper presents methods for improving the accuracy of vector-based position measurements through the decoupling of multiple nonideal sensor properties using model reference adaptive system (MRAS) techniques. The nonideal sensor properties considered are: signal scaling errors (amplitude imbalance on the vector parts), signal offsets, imperfect orthogonality (quadrature error) between sensor vector parts, and additional spatial harmonics superimposed on fundamental sensor outputs. Simulation and experimental results are provided to evaluate the proposed MRAS-primarily based decoupling ways. The ways presented here can be applied to multiple types of vector-based position measurement and estimation such as the use of magnetoresistive sensors, sine/cosine encoders, resolvers, or self-sensing (sensorless) methods. These strategies will be implemented in real time and are well-suited to the self-commissioning of vector-primarily based position sensors for enhanced sensor accuracy.


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