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Improved adaptive feedback linearization control of induction motors based on online estimation of core loss and rotor resistance

机译：基于在线损耗和转子电阻在线估计的改进的感应电动机自适应反馈线性化控制

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《》|2006年|P.27-32|共6页
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Abbasian; T.; Salmasi; F.R.; Yazdanpanah; M.J.;
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1. An Adaptive Flux Observer With Online Estimation of DC-Link Voltage and Rotor Resistance For VSI-Based Induction Motors [J] . Power Electronics, IEEE Transactions on . 2010 ,第5期

机译：在线估计基于VSI的感应电动机的直流母线电压和转子电阻的自适应磁通观测器
2. Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power [J] . Maiti S., Chakraborty C., Hori Y., IEEE Transactions on Industrial Electronics . 2008 ,第2期

机译：基于模型参考自适应控制器的无功矢量控制感应电动机驱动器的转子电阻和速度估计技术
3. Rotor flux estimation based on nonlinear feedback integrator for backstepping-controlled induction motor drives [J] . R. Trabelsi, A. Khedher, M.F. Mimouni, Electromotion . 2010 ,第3期

机译：基于非线性反馈积分器的反步控制感应电动机驱动器转子磁链估计
4. Improved adaptive feedback linearization control of induction motors based on online estimation of core loss and rotor resistance [C] . Abbasian T., Salmasi F.R., Yazdanpanah M.J. International Symposium on Power Electronics, Electrical Drives, Automation and Motion . 2006

机译：基于磁芯损耗和转子电阻的在线估计，改进了感应电动机的自适应反馈线性化控制
5. Adaptive backstepping based online loss minimization control of an induction motor drive. [D] . Nam, Sang Woo. 2006

机译：基于自适应反推的感应电动机驱动器在线损耗最小化控制。
6. Sensorless FOC Performance Improved with On-Line Speed and Rotor Resistance Estimator Based on an Artificial Neural Network for an Induction Motor Drive [O] . Jose M. Gutierrez-Villalobos, Juvenal Rodriguez-Resendiz, Edgar A. Rivas-Araiza, 2015

机译：基于人工神经网络的感应电动机驱动器在线速度和转子电阻估算器提高了无传感器FOC性能
7. CARRIER BASED PWM TECHNIQUE AND ADAPTIVE NEURAL NETWORK BASED ROTOR RESISTANCE ESTIMATOR FOR THE PERFORMANCE ENHANCEMENT OF VECTOR CONTROLLED INDUCTION MOTOR DRIVES [O] . Venkadesan A 2019

机译：基于载波的PWM技术和基于自适应神经网络的转子电阻估计，用于矢量控制感应电动机驱动器的性能增强

Improved adaptive feedback linearization control of induction motors based on online estimation of core loss and rotor resistance

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