Improved Sensorless Speed Control Method for Linear Induction Motor Based Extended Adaptive Full-Order Observer

Author(s):  
Renjun Dian ◽  
Wei Xu ◽  
Dong Hu ◽  
Yi Li
2008 ◽  
Vol 41 (2) ◽  
pp. 5456-5461
Author(s):  
Kuang-Yow Lian ◽  
Cheng-Yao Hung ◽  
Chian-Song Chiu

2017 ◽  
Vol 7 (6) ◽  
pp. 2132-2138
Author(s):  
S. Masoumi Kazraji ◽  
M. R. Feyzi ◽  
M. B. Bannae Sharifian ◽  
S. Tohidi

In this paper a model fuzzy predictive force control (FPFC) for the speed sensorless control of a single-side linear induction motor (SLIM) is proposed. The main purpose of of predictive control is minimizing the difference between the future output and reference values. This control method has a lower force ripple and a higher convergence speed in comparison to conventional predictive force control (CPFC). In this paper, CPFC and FPFC are applied to a linear induction motor and their results are compared. The results show that this control method has better performance in comparison to the conventional predictive control method.


2020 ◽  
Vol 10 (21) ◽  
pp. 7405
Author(s):  
Li Zhang ◽  
Yan Xia ◽  
Weiming Zhang ◽  
Weilin Yang ◽  
Dezhi Xu

This paper puts forward a projection-based adaptive command filtered fuzzy nonsingular terminal sliding mode backstepping (PACFTB) control method for the speed control of the linear induction motor (LIM) with unknown end effects. Firstly, the technique of fuzzy logic systems (FLS) is investigated to approximate the nonlinear components of the LIM’s mathematical model, which reduces the difficulty and cost of controller design. Then, a constrained command-filtered backstepping controller is designed with a filtering compensator compensating for the inherent error of constrained filter. Moreover, the nonsingular terminal sliding mode control method is combined in the controller design for its advantages of finite-time convergence of the system, and the projection-operator-based adaptive laws are established at the same time. Finally, the stability analysis proves that the boundedness and stability of all signals can be ensured with the proposed PACFTB controller, and the simulation results along with experiment results verify that the proposed control strategy has better control performance than the conventional command filter backstepping and PI controller.


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