Title :
ANN-inversion based fractional order QFT robust control for PMSM
Author :
Qinghong Xu ; Jiacai Huang ; Hongsheng Li ; Lei Zhou
Author_Institution :
Sch. of Autom., Nanjing Inst. of Technol., Nanjing, China
Abstract :
To improve the performance of the PMSM, an ANN-Inversion based fractional order QFT(FOQFT) robust control scheme for the PMSM is proposed. Firstly, a BP neural network is used to approximate the inverse system of PMSM, and the composite pseudo-linear system, consisted of the ANN-Inversion system and the controlled PMSM system, is equivalent to a linear system with disturbance. Then, a FOQFT control scheme is proposed based on the QFT method and fractional calculus, and the parameters of the FOQFT controller are optimized by Particle Swarm Optimization (PSO) algorithm. Finally, case study is conducted on a PMSM system and results show the effectiveness of the proposed control scheme.
Keywords :
backpropagation; linear systems; machine control; neurocontrollers; particle swarm optimisation; permanent magnet generators; robust control; synchronous generators; ANN-inversion based fractional order QFT robust control; BP neural network; FOQFT robust control scheme; PMSM system; PSO algorithm; artificial neural networks; composite pseudolinear system; fractional calculus; inverse system; linear system; particle swarm optimization algorithm; permanent magnet synchronous generator; Approximation methods; Control systems; Mathematical model; Neural networks; Particle swarm optimization; Robust control; Rotors; ANN-Inversion; Fractional Caculus; PMSM; Particle Swarm Optimization; QFT;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6897009
