Design and implementation of a RBF-based PI Controller for PMSM Drives
This work presents a hardware implementation of a RBF NN (Radial Basis Function Neural Network), then use this RBF NN to design a PI controller for PMSM (Permanent Magnet Synchronous Motor) drives. In this paper, firstly, the mathematical model of PMSM drives and the architecture of the RBF NN which consists of an input layer, a hidden layer of nonlinear processing neurons with Gaussian function and an output layer are described. Secondly, a very high speed IC hardware description language (VHDL) is adopted to describe the behavior of the RBF - PI Controller, and the data type applies 32bit length Q24 format and 2's complement operation. Additionally, finite state machine (FSM) is applied for reducing the hardware resource usage. Thirdly, to verify the correctness of the designed VHDL code for computing the RBF-PI, based on electronic design automation (EDA) simulator link, a co-simulation work is constructed by Simulink and ModelSim which the input stimuli and output responses are run in Simulink and the computation of the RBF-PI is performed in ModelSim. Finally, some simulation results validate the effectiveness of the proposed RBF-based PI (RBF-PI) Controller for PMSM Drives.