Speed sensorless vector control of induction motor using Kalman-filter-assisted adaptive observer

1998 ◽  
Vol 45 (2) ◽  
pp. 359-361 ◽  
Author(s):  
Che-Ming Lee ◽  
Chern-Lin Chen
Keyword(s):  
Kalman Filter ◽  
Vector Control ◽  
Induction Motor ◽  
Adaptive Observer ◽  
Speed Sensorless ◽  
Sensorless Vector Control

Neural Adaptive Kalman Filter for Sensorless Vector Control of Induction Motor

2017 ◽  
Vol 8 (4) ◽  
pp. 1841
Author(s):  
Ghlib Imane ◽  
Messlem Youcef ◽  
Gouichiche Abdelmadjid ◽  
Chedjara Zakaria
Keyword(s):  
Kalman Filter ◽  
Vector Control ◽  
Induction Motor ◽  
Classical Method ◽  
Adaptive Observer ◽  
Estimation Accuracy ◽  
Adaptive Kalman Filter ◽  
Speed Sensorless ◽  
Field Oriented Vector Control ◽  
Computationally Intensive

This paper presents a novel neural adaptive Kalman filter for speed sensorless field oriented vector control of induction motor. The adaptive observer proposed here is based on MRAS (model reference adaptive system) technique, where the linear Kalman filter calculate the stationary components of stator current and the rotor flux and the rotor speed  is calculated with an adaptive mechanism. Moreover, to improve the performance of the PI classical controller under different conditions, a novel adaptation scheme based on ADALINE (ADAptive LInear NEuron) neural network is used. It offers a solution to the PI parameters to stabilize automatically about their optimum values and speed estimation to converge quicker to the real. The proposed adaptive Kalman filter represents a good comprise between estimation accuracy and computationally intensive. The simulation results showed the robustness, efficiency, and superiority of the proposed scheme compared to the classical method even in low speed region.

Cascaded Multilevel Inverter IM Speed-Sensorless Vector Control System Based on MRAS Theory

2013 ◽  
Vol 344 ◽  
pp. 159-163
Author(s):  
Zhen Jun Lin ◽  
Sheng Hua Huang
Keyword(s):  
Vector Control ◽  
Induction Motor ◽  
Low Voltage ◽  
Multilevel Inverter ◽  
Speed Sensorless ◽  
Multilevel Inverters ◽  
Sensorless Vector Control ◽  
Simulation And Experiment ◽  
Vector Control System ◽  
Cascaded Multilevel Inverter

Cascaded multilevel inverters could realize high-voltage output based on a series connection of power cells which use standard low-voltage component configurations. This characteristic could achieve high-quality output voltage waveforms and input current waveforms. These merits are made for motor control, especially in the field of speed-sensorless vector control of induction motor based on the theory of MRAS. This paper constructs a simulation system with the help of MATLB/SIMULINK and a system combined cascaded H-bridge multilevel inverter with induction motor with the help of DSP and FPGA. The simulation and experiment results verified the superiority of cascaded multilevel inverter applied on the MRAS speed-sensorless vector control of induction motor.

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