无刷双馈电机高阶终端滑模转速辨识设计

Brushless Doubly Fed Machine High-order Terminal Sliding Mode Speed Identification Design

对无刷双馈电机高阶终端滑模转速辨识的优化控制设计提高双馈电机的运行特性。针对传统的无刷双馈电机的转子耦合能力差、效率低的问题,提出一种基于跟踪微分器有限元法分析的无刷双馈电机高阶终端滑模转速辨识设计方法。分析无刷双馈电机系统结构和基本控制原理,通过使用变频变压调速系统设计的方式,采用高阶滑模控制,设计跟踪微分器补偿控制误差,进行有限元法分析,得到无刷双馈电机结构模型的滑膜干扰控制律。用神经网络逼近左逆测量系统中的非线性函数。利用转子磁场坐标系高频抑制性能,对无刷双馈电机系统的转速辨识模型进行改进设计。仿真实验表明,该模型控制的转速观测器对于无刷双馈电机系统转速的辨识及时准确,辨识误差最大值出现在负载突增时,仅有3 r/min,展示了模型较高的抗干扰性能。为提高无刷双馈电机控制系统闭环控制的精度以及系统的鲁棒性提供了保证。

The optimal control of operating performance of doubly fed motor design improvement of brushless doubly fed machine high-order terminal sliding mode speed identification. According to the traditional rotor coupling ability of brushless doubly fed machine is poor, the problem of low efficiency, presents a BDFM high-order terminal sliding mode speed identi- fication analysis and design methods of tracking differentiator based on finite element method. The brushless doubly fed machine system structure and basic control principle, the use of variable voltage variable frequency speed regulation system by designing way, using high order sliding mode control, the design of tracking differentiator compensation control error, fi- nite element method analysis, get the synovial interference of brushless doubly fed machine structure model control law. Left inverse nonlinear function approximation in the measurement system is used in neural network. Using the magnetic field of the rotor coordinate system of high frequency suppression performance, speed identification model of the brushless doubly fed machine system design improvement. Simulation results show that the model to control the speed observer for brushless double fed motor speed system timely and accurate identification error maximum value appeared in load surges, only 3 R/min, show high anti-interference performance model. In order to improve the robustness of the brushless doubly fed motor closed-loop control system control precision and system provides a guarantee.