基于VIENNA永磁风电系统的自适应反推控制研究

RESEARCH ON ADAPTIVE BACKSTEPPING CONTROL OF PERMANENT MAGNET WIND POWER SYSTEM BASED ON VIENNA

针对永磁同步电机存在非线性项的不确定性以及系统参数摄动产生的不利影响,提出一种基于VIENNA永磁风电系统的自适应反推控制策略。采用VIENNA整流拓扑实现整机功率密度的最大化,降低谐波干扰,提升系统的可靠性。通过自适应反推控制得到系统控制律和参数自适应律,解决了系统的非线性,实现了对定子电阻和负载转矩的参数自适应,从而提高了系统的抗干扰能力。仿真结果表明,该控制系统具有较强的鲁棒性。

Aiming at the uncertainties of nonlinear terms in permanent magnet synchronous motors and the adverse effects of system parameter perturbation,an adaptive backstepping control strategy based on VIENNA permanent magnet wind power system is proposed.The VIENNA rectification topology is used to maximize the power density of the whole machine,reduce harmonic interference,and improve system reliability.The system control law and parameter self-adaptive law are obtained through self-adaptive backstepping control,which solves the nonlinearity of the system and realizes the parameter self-adaption of the stator resistance and load torque,thereby improving the anti-interference ability of the system.Simulation results show that the control system has strong robustness.