Sensorless Control of Bearingless Permanent Magnet Synchronous Motor Based on LS-SVM Inverse System

In order to solve the problems of low integration, reliability, and high cost caused by mechanical sensors used in bearingless permanent magnet synchronous motor (BPMSM) control systems, a novel speed displacement sensorless method using least-squares support vector machine (LS-SVM) left inverse system is proposed this paper. Firstly, suspension force generation principle BPMSM introduced, mathematical model derived. Secondly, observation explained, reversibility established subsystem proved. Thirdly, systems subsystems are constructed LS-SVM, complete constructed. Finally, simulations experiments performed. The research results demonstrate that can identify quickly accurately, realize stable operation without sensors.