scholarly journals Adaptive-Loss minimization control for speed sensorless induction machines

2014 ◽  
Vol 17 (2) ◽  
pp. 33-44
Author(s):  
Phuong Minh Le ◽  
Phong Hoai Nguyen ◽  
Hung Ngoc Dang

This paper presents a new online loss-minimization algorithm in the adaptive control model for speed sensorless based on the Direct Rotor Flux Oriented Control (DRFOC) with optimum flux in the condition of do variable stator resistance. The paper also presents a new approach to develop a reference and adaptive models to estimate the speed and to observe stator resistance change. Simulation results in Matlab Simulink showed good adaptability of the presented model controls even when the stator resistance changes to up 200% of rated. In addition, using the proposed algorithm allows reducing losses and improving efficiency of proposed control model in comparison with DRFOC traditional model for load range 0-70% of the rated. Where the difference of efficient can reach 42%, and the difference in loss to 85%.

2014 ◽  
Vol 986-987 ◽  
pp. 1146-1150
Author(s):  
Qing Tian ◽  
Jun Ling Zhu

To improve the speed sensorless speed control system’s performance, this paper analyzes the rotor flux and speed estimation principle based on MRAS. On this basis, a new online identification method of induction motor stator resistance based on fuzzy logic is proposed. This method takes rotor flux and stator current vector as input and the stator resistance changes as the output. In the simulation environment, we compare the speed waveforms after the increase of stator resistance identification and conduct simulation to the identification effect when doubling the original value of stator resistance suddenly. The experiments show that the method has simple structure, high reliability, low computational complexity and obvious ability to identify the stator resistance changes, and besides, it can significantly improve the speed control system performance.


2000 ◽  
Vol 15 (2) ◽  
pp. 346-353 ◽  
Author(s):  
C.B. Jacobina ◽  
J.E.C. Filho ◽  
A.M.N. Lima

Author(s):  
Oscar Barambones ◽  
Patxi Alkorta ◽  
Aitor Garrido ◽  
Izaskun Garrido

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