Recent Developments of Artificial Intelligent Controllers for IPM Motor Drive Applications

This paper investigates the state of the art work on intelligent controllers for interior permanent magnet motor (IPM) motor drive applications. Particular attention is paid for fuzzy logic, neural network, and neuro-fuzzy controllers. In many applications, especially in controlling nonlinear, time varying, and ill defined systems artificial intelligent controllers (AICs) have been proved to be superior in design and performance when compared to the conventional controllers. A survey on the design, development and implementation of AICs for interior permanent magnet synchronous motor (IPMSM) is provided in this paper. Thus, this paper provides useful information for researcher and practicing engineers about the application of artificial intelligent controller for IPMSM drives.