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根据高阶非仿射变速风力机的特性,提出自适应神经网络全局跟踪控制方法,实现对变速风力机转速的跟踪控制,解决由风的波动性和随机性导致的变速风力机控制中长期存在的非线性时变参数问题。首先,建立变速风力机的非线性模型,通过系统转换,将非仿射系统模型转换为仿射的严格反馈系统模型。然后,使用神经网络观测器对系统不可得到的状态进行估计。最后,将自适应神经网络全局跟踪控制方法用于系统的局部控制器,并通过仿真验证该控制方法具有良好的控制效果。
According to the characteristics of high-order non-affine variable speed wind turbine, a self-adaptive global tracking control method based on neural network is proposed to realize tracking control of variable speed wind turbine speed and to solve medium- and long-term existence of variable speed wind turbine control due to wind fluctuation and randomness The problem of nonlinear time-varying parameters. First of all, a nonlinear model of variable speed wind turbine is established, and the non-affine system model is transformed into an affine strict feedback system model through system transformation. Then, a neural network observer is used to estimate the unavailability of the system. Finally, an adaptive neural network global tracking control method is applied to the local controller of the system, and the control method has good control effect through simulation.