International Journal of Mechanical Engineering

As an advanced non-contact support technology, magnetic bearings have been widely applied across multiple fields. The core of their control lies in precise detection of rotor displacement. Although traditional eddy current sensors are commonly used, they impose limitations on rotational speed, increase system complexity, and raise failure risks. To overcome these constraints, sensorless displacement detection technology has emerged, which estimates rotor position by measuring electromagnetic coil signals and applying system dynamics models. Magnetic bearing systems exhibit strong nonlinearity, random disturbances, and high demands for real-time control. Algorithms such as Kalman filtering provide solutions by integrating model predictions with observed data through a "predict-update" mechanism to achieve optimal state estimation. This paper conducts an in-depth study on sensorless high-precision control technology for magnetic bearings, aiming to enhance their performance and application scope.

Magnetic bearing; Sensorless control; High precision; Kalman filtering; Nonlinear system