Implementing a Neural Network Controller for a Permanent Magnet Synchronous Motor based on MATLAB Function

In this paper, a Radial Basic Function Neural Network (RBFNN) is built to control a three-phase PMSM with a Field Oriented Control (FOC). The parallel structure of a RBFNN and a conventional PID Controller is used to simplify design the online adaptive learning law. Moreover, depending on the central processor, the code is developed in the appropriate software. To improve the flexibility and integration in implementing the algorithm with the Texas Instrument DSP, this paper proposes a method to execute the algorithm based on the MATLAB Function and the Embedded Coder. The experiment was verified on the platform with the F28069 Control Card and loaded conditions.