RBF NN-Based Block PD-Type Backstepping Control of Induction Motor
For the model of induction motors(IMs) in field-oriented coordinates, a novel design method of controller is proposed, which combining block adaptive backstepping method with neural networks, introducing PD-type feedback, and making use of the diagonal feature of the unknown control matrix and the boundedness of its derivative. The control law and parameter updating law are derived using Lyapunov theory, which guarantees the stability of the whole system. The proposed approach can track the rotor speed and flux reference signals under parameter uncertainties. Simulation results show the effectiveness of the proposed approach.
H. Y. Li and Y. A. Hu, "RBF NN-Based Block PD-Type Backstepping Control of Induction Motor", Key Engineering Materials, Vols. 467-469, pp. 1116-1121, 2011