基于AFO 的感应电机无速度传感器控制

针对传统的基于模型参考自适应理论MRAS(Model Reference Adaptive System)的感应电机无速度传感器控制系统存在的参考模型不准确的缺点, 提出了一种以电机本身为参考模型, Luenberger 全阶状态观测器为可调模型的自适应无速度传感器AFO(Adaptive Full-Order Observer)控制策略。整个系统包含产生电机所需转子 磁链的全阶观测器和一个使用自适应率估计转速的转速估算机构。以李雅普诺夫稳定性理论为基础, 使用电机的估算定子电流误差和观测出的转子磁链推导出转速自适应率。以观测器极点配置的方法, 设计了一种快速收敛的反馈矩阵, 保证了在大范围内电机的稳定运行。针对转速估计在低速再生制动时的不稳定现象, 利用劳斯稳定判据, 设计了一种新的反馈矩阵保证转速估算的全局稳定性。通过Matlab/ Simulink 仿真验证了结论的有效性。

Speed Sensorless Control of Induction Motor Based on AFO Algorithm

Traditional model reference adaptive theory MRAS( Model Reference Adaptive System) of induction motor speed sensorless drive has a shortcoming that the reference model is not accurate. This paper proposes a adaptive speed sensorless control AFO( Adaptive Full-Order Observer) that uses motor itself for the reference model, luenberger full order observer for the adjustable model. The syetem consists of a full order observer that yields the rotor fluxes of motor needs and also estimates the speed using an adaptive law. Based on the Lyapunov stability theory. The adaptive rotor speed is actually derived by using estimated stator currents error and estimated rotor flux. A fast convergent feedback matrix is designed based on the pole assignment method, to ensure the stable operation of the motor in a wide range. In view of the instability of the rotor speed estimation in low speed regenerative braking, by using the Routh stability criterion, a new feedback matrix is designed to guarantee the global stability of the speed estimation. The simulations results show its validity and effectiveness.