DIRECT CONTROL OF CURRENTS BASED ON ADAPTIVE RBF NEURAL NETWORK FOR BRUSHLESS DC MOTORS
...ed according to an adaptive algorithm so that a RBF network is built with a much simpler and tighter structure to form an efficient nonlinear map from terminal voltages and phase currents of the motor to the states of the power switches, facilitating the elimination of the position sensors. The RBF network is trained both offline and online. In the offline ways with the training data collected from experiments, the number and locations of the hidden units of the RBFNN are obtained; while online learning, the weights between the hidden layer and the output layer are updated according to the recursive least squares (RLS) algorithm. The RBF network is used to realize the direct control of currents for the BLDC motor in experiments based on DSP, and the results show that with the proposed method, and higher control precision and robustness is obtained. In the offline ways with the training data collected fro...