Model predictive direct power control of doubly-fed induction generator based on ESO
To address the impact of uncertainties such as motor parameter perturbations and sudden chan-ges in grid voltage on the control system during the operation of doubly-fed induction generator(DFIG),a con-trol strategy combining extended state observer(ESO)and model predictive direct power control(MPDPC)is proposed.Firstly,the effects that system coupling terms,model errors,and external perturbations present in the traditional MPDPC have on the control system are analyzed,and in order to reduce this effect,dilated ESO was applied for the estimation with relevant parameters.On this basis,a mathematical model of power predic-tion was established by combining model predictive control theory.Through simulation experiments under dif-ferent working conditions and comparison with traditional MPDPC,the results show that the proposed control strategy has strong robustness and anti-interference ability.
doubly-fed induction generator(DFIG)extended state observer(ESO)model predictive direct power control(MPDPC)robustness
万方数据
维普
