基于模型参考自适应的无速度传感器双馈风力发电机组控制技术研究

Speed-senseless Control Strategy of Induction Motor for Doubly-fed Wind Power Generation System Based on MRAS Observer

考虑到变速恒频风力发电机组在运行工况下安装速度传感器具有诸多缺陷,提出了一种基于模型参考自适应(MRAS)转速辨识理论的无速度传感器变速恒频风力发电机组控制策略。应用Popov超稳定理论,经过严格的推导得出了转速和转子时间常数的自适应律,使系统在准确辨识转速的同时,对电机参数变化具有较强的鲁棒性。通过引入自适应补偿改进积分器消除了电压模型中纯积分环节存在的直流偏移和初始值问题。最后,通过Matlab/Simulink功能进行了系统的仿真,并详细分析了电机参数变化对辨识精度的影响,仿真结果验证了所提策略的有效性。

Because fixing speed sensor on VSCF wind power generator has many defects, a sensorless vector control scheme for variable-speed constant-frequency wind power generation system is proposed. By applying the Popov stability theory, the rotor speed and timeconstant adaptive law are derived. The speed can be estimated accurately by the system, and the system shows strong robustness to speed variation of motor parameters. By transplanting the modified integrator with an adaptive compensation into the estimation system, the initial value and dc drift problcms of pure integrators are eliminated effectively. A simulation is done with Matlab/Simulink. The influence of parameter variation on precision of estimated speed is analyzed. The simulation results verify the validity of the proposed strategy.