Robust State Estimation of Induction Motor using Desensitized Rank Kalman Filter

2020 ◽  
Author(s):  
Tai-shan Lou ◽  
Dong-xuan Han ◽  
Xiao-liang Yang ◽  
Su-xia Jiang
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Induction Motor

scholarly journals Kalman Filtering Applied to Induction Motor State Estimation

2020 ◽  
Author(s):  
Yassine Zahraoui ◽  
Mohamed Akherraz
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Induction Motor ◽  
Kalman Filtering ◽  
Speed Estimation ◽  
Stochastic Algorithm ◽  
State Variables ◽  
Extended Kalman Filtering ◽  
Filtering Theory ◽  
State Observation

This chapter presents a full definition and explanation of Kalman filtering theory, precisely the filter stochastic algorithm. After the definition, a concrete example of application is explained. The simulated example concerns an extended Kalman filter applied to machine state and speed estimation. A full observation of an induction motor state variables and mechanical speed will be presented and discussed in details. A comparison between extended Kalman filtering and adaptive Luenberger state observation will be highlighted and discussed in detail with many figures. In conclusion, the chapter is ended by listing the Kalman filtering main advantages and recent advances in the scientific literature.

Research on Stator Flux and Rotor Speed Estimation for Induction Motor Based on Extended Complex Kalman Filter

2014 ◽  
Vol 644-650 ◽  
pp. 709-713
Author(s):  
Yue Dou Pan ◽  
Ying Wei Guo ◽  
Hua De Li
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Induction Motor ◽  
Estimation Method ◽  
Torque Control ◽  
Speed Estimation ◽  
Rotor Speed ◽  
Extended Complex ◽  
Stator Flux ◽  
Complex Valued

This paper proposes a stator flux and rotor speed estimation method for induction motor (IM) based on extended complex Kalman filter (ECKF). A complex-valued model is adopted that allows a simpler and more effective state estimation of IM. And a third order ECKF has been designed for IM model by neglecting the mechanical equation, which is a valid hypothesis when the motor is operated at a constant rotor speed. The stator flux and rotor speed estimation obtained from ECKF are applied for direct torque control (DTC) of induction motor. This method for state estimation is more effective and easier than the one performed on the corresponding real-valued model, as it obtains observability conditions directly in terms of stator current and flux complex-valued vectors. The proposed ECKF achieves a good performance in DTC of IM. Simulation experiment results in Matlab/Simulink environment validate the proposed method.

Sign in / Sign up

Export Citation Format

Share Document