Non-Linear State Estimation Using Derivative-Free Filters for a Three-Phase Induction Motor Model

2011 ◽  
Vol 8 (3) ◽  
pp. 231-245
Author(s):  
J. Ravikumar ◽  
S. Subramanian ◽  
J. Prakash
Keyword(s):  
State Estimation ◽  
Induction Motor ◽  
Three Phase ◽  
Derivative Free ◽  
Non Linear ◽  
Linear State ◽  
Motor Model

scholarly journals Reliable non-linear state estimation involving time uncertainties

Automatica ◽  
2018 ◽  
Vol 93 ◽  
pp. 379-388 ◽  
Author(s):  
Simon Rohou ◽  
Luc Jaulin ◽  
Lyudmila Mihaylova ◽  
Fabrice Le Bars ◽  
Sandor M. Veres
Keyword(s):  
State Estimation ◽  
Non Linear ◽  
Linear State

Adaptive central difference filter for non-linear state estimation

2015 ◽  
Vol 9 (6) ◽  
pp. 728-733 ◽  
Author(s):  
Manasi Das ◽  
Smita Sadhu ◽  
Tapan Kumar Ghoshal ◽  
Aritro Dey
Keyword(s):  
State Estimation ◽  
Central Difference ◽  
Non Linear ◽  
Difference Filter ◽  
Linear State

Non-Linear State estimation using pre-trained neural networks

2010 ◽  
Author(s):  
Enis Bayramoglu ◽  
Nils Axel Andersen ◽  
Ole Ravn ◽  
Niels Kjolstad Poulsen
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Non Linear ◽  
Linear State

scholarly journals Speed Control of Three Phase Induction Motor Using Scalar Method and PID Controller

1970 ◽  
Vol 5 (1.) ◽  
Author(s):  
Aram Nasser ◽  
Péter Tamás Szemes
Keyword(s):  
Vector Control ◽  
Induction Motor ◽  
Frequency Ratio ◽  
Pid Controller ◽  
Control Method ◽  
Speed Control ◽  
Control Technique ◽  
Scalar Control ◽  
Three Phase ◽  
Motor Model

This paper presents the speed control of a three-phase induction motor using the scalar control method with PID controller. The system maintains a constant volt to frequency ratio for any change in the load. We also used vector control method and bond graph to describe the motor model, as well as its behavior. Finally, we simulated the system using Labview, where the good results of using the scalar control technique are shown.

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