Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent Magnet Synchronous Motors

By applying rotor angle sensorless control methods the costs of electrical drive can be decreased while its reliability is increased. Traditionally, design both estimator and controller require a detailed motor model manual tuning leading to significant effort by human experts. In this work, anisotropy-based scheme for interior permanent magnet synchronous motors (IPMSM) proposed that enables with minimum priori knowledge. Due these characteristics particularly suitable self-commissioning or low-cost applications. The contains finite set predictive current (FCS-MPCC) an additional inequality constraint identification in stator-fixed coordinate system using last three measurement samples. Utilizing automatic procedure, determined online data-driven fashion. identified serves as prediction FCS-MPCC baseline estimation via eigenvalue decomposition approach. Challenging experimental investigations at standstill up medium speed range prove applicability Here, highly dynamic transients handled method.