对基于全阶自适应观测器的感应电动机无速度传感器矢量控制系统进行了研究.首先利用Popov超稳定理论分析出自适应观测器不稳定工作区域与其反馈增益矩阵有直接关系;在此基础上应用Kalman滤波理论优化设计反馈增益,并分析证明所设计的增益能够保证系统工作于稳定区.其次基于d-q系下电机动态模型,采用速度环变论域模糊控制和电流环前馈解耦控制,增强控制系统对外界干扰的适应能力.数字仿真试验验证了所设计的自适应观测器性能良好,鲁棒性强.%A speed sensorless IM drive based on full order adaptive observer was studied. Popov hyperstability theory was employed to analyze the stability of the adaptive system, and it proved that the instability had direct relation with the feedback gain. Then the feedback gain matrix was optimized via Kalman filter to reduce the instability region and ensure the stability of the observer. As to the vector decoupling control, an adaptive fuzzy controller with variable universe for the speed closed loop and the voltage feedforward compensater for current loop were developed aiming to promote the adaptive ability. Simulation and experimental results show that the adaptive observer has a good control performance and a good robustness.
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