The maglev yaw system of wind turbines adopts maglev-driving technology instead of traditional gear-driving technology. It has many advantages, such as no lubrication, simple structure, and high reliability. However, the stable suspension control of maglev yaw system is difficult to achieve due to the unknown disturbance caused by crosswind in a practical environment. In this article, an adaptive sliding mode cascade controller based on radial basis function neural network is proposed for the stable suspension control of maglev yaw system. First, the dynamic mathematical model of maglev yaw system is established. Second, an adaptive sliding mode robust controller using radial basis function neural network is designed as the outer loop air gap tracking controller for precise position control, where radial basis function neural network is employed to estimate the unknown parameter containing disturbance. To eliminate the limitation of the traditional exponential approach law based on sign function in the sliding mode control, an exponential reaching law based on hyperbolic tangent function is introduced to guarantee the smooth suspension control of maglev yaw system. Third, an adaptive controller as the inner loop current tracking controller is designed. Finally, the corresponding simulations and analysis are carried out. The simulation results show that the proposed controller can guarantee the suspension stability of maglev yaw system and suppress the disturbance effectively. Compared with the cascade proportional–integral–derivative controller and improved double power reaching law integral sliding mode controller, the proposed controller has a faster dynamic response and stronger robustness in the presence of unknown external disturbance.

风力发电机的磁悬浮偏航系统采用磁悬浮驱动技术代替传统的齿轮驱动技术。具有免润滑、结构简单、可靠性高等优点。然而，在实际环境中，由于侧风引起的未知扰动，难以实现磁悬浮偏航系统的稳定悬浮控制。本文针对磁悬浮偏航系统的稳定悬架控制，提出了一种基于径向基函数神经网络的自适应滑模串级控制器。首先，建立了磁悬浮偏航系统的动力学数学模型。其次，使用径向基函数神经网络的自适应滑模鲁棒控制器被设计为用于精确位置控制的外环气隙跟踪控制器，其中径向基函数神经网络用于估计包含扰动的未知参数。为消除传统基于符号函数的指数趋近​​律在滑模控制中的局限性，引入基于双曲正切函数的指数趋近​​律来保证磁悬浮偏航系统的平稳悬浮控制。第三，设计了一个自适应控制器作为内环电流跟踪控制器。最后进行了相应的仿真和分析。仿真结果表明，所提出的控制器能够保证磁悬浮偏航系统的悬浮稳定性，有效抑制扰动。与级联比例-积分-微分控制器和改进的双幂到达律积分滑模控制器相比，