Kalman filtering speed estimation of vector control for induction motor drive

机译：感应电动机驱动矢量控制的卡尔曼滤波速度估计

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This paper presents a new approach using a robust extended Kalman filter (EKF) for induction motor speed estimation. The advancement of vector control in ac motor drives has become a widely acceptable technology to date. The recent techniques have emerged increasing attractions that sensorless vector controlled drives can achieve low costs and high reliability. This paper provides a design of a desired EKF to estimate the reference speed of the motor and exhibits the effectiveness of estimated rotor speed and fast dynamic response in simulation. The simulation was carried out on a very large induction motor running at the lowest speed which is the worst-case scenario from the control perspective and it can be further developing into experimental tests in the future.

机译：本文提出了一种使用鲁棒扩展卡尔曼滤波器（EKF）进行感应电动机速度估计的新方法。迄今为止，交流电动机驱动器中矢量控制的发展已成为广泛接受的技术。无传感器矢量控制驱动器可以实现低成本和高可靠性，因此出现了越来越多的吸引力。本文提供了一种期望的EKF设计，以估计电动机的参考速度，并在仿真中展示了估计的转子速度和快速动态响应的有效性。该仿真是在以最低速度运行的超大型感应电动机上进行的，从控制的角度来看，这是最坏的情况，并且将来可以进一步发展为实验测试。

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来源
《2016 IEEE International Conference on Power System Technology》|2016年|1-5|共5页
会议地点 Wollongong(AU)
作者
Ning Chuang;
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原文格式 PDF
正文语种 eng
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关键词
Induction motors; Rotors; Stators; Mathematical model; Kalman filters; DC motors; Torque;

机译：感应电动机;转子;定子;数学模型;卡尔曼滤波器;直流电动机;转矩;

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专利

1. Implementation of a Mixed Recursive Least-squares and Kalman Filter Approach in Parameters, Flux, and Speed Estimation for Vector-controlled Induction Motor Drives [J] . G. MARAGLIANO, M. MARCHESONI Electric Power Components and Systems . 2008,第4期

机译：矢量控制感应电动机驱动器的参数，通量和速度估计的混合递归最小二乘和卡尔曼滤波方法的实现
2. Reduced-order observers for rotor flux, rotor resistance and speed estimation for vector controlled induction motor drives using the extended Kalman filter technique [J] . Garcia Soto G., Mendes E. IEE Proceedings. Part B . 1999,第3期

机译：使用扩展的卡尔曼滤波技术的矢量控制感应电动机驱动器的转子磁链，转子电阻和速度估计的降阶观测器
3. Low Speed Estimation in Sensorless Direct Torque Controlled Induction Motor Drive Using Extended Kalman Filter [J] . Mini R, Saranya C, B. Hariram Satheesh, International Journal of Power Electronics and Drive Systems . 2015,第4期

机译：使用扩展卡尔曼滤波器的无传感器直接转矩控制感应电动机驱动器的低速估计
4. Kalman filtering speed estimation of vector control for induction motor drive [C] . Ning Chuang IEEE International Conference on Power System Technology . 2016

机译：感应电动机驱动器矢量控制的卡尔曼滤波速度估计
5. Adaptive state filtering with neural networks for sensorless induction motor speed estimation. [D] . Bharadwaj, Raj Mohan. 2000

机译：具有神经网络的自适应状态滤波，用于无传感器感应电动机速度估算。
6. An Adaptive Supervisory Sliding Fuzzy Cerebellar Model Articulation Controller for Sensorless Vector-Controlled Induction Motor Drive Systems [O] . Shun-Yuan Wang, Chwan-Lu Tseng, Shou-Chuang Lin, 2015

机译：无传感器矢量控制感应电动机驱动系统的自适应监督滑模模糊小脑模型关节控制器
7. Optimisation of the extended Kalman filter for speed estimation of induction motor drives [O] . Buyamin Salinda 2007

机译：用于感应电机驱动器速度估算的扩展卡尔曼滤波器的优化

Kalman filtering speed estimation of vector control for induction motor drive

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