Controller Design via Sliding Mode Control Approach of Induction Motor -- A Survey

Author(s):  
Rakesh Patel ◽  
Hardik A. Shah ◽  
S.K. Shah ◽  
Ami T. Patel
Author(s):  
Mokhtar Touam ◽  
Mohammed Chenafa ◽  
Soufyane Chekroun ◽  
Ramzi‎ Salim

<span lang="EN-US">The induction motor is complex because its dynamic is nonlinear, multivariable and highly coupled. In addition, the induction motor (IM) controller design can be degraded due to wide ranges operating speed specially in low and near-zero speeds and also to variation of interval parameters such as the stator resistance change because of stator heating during operation. Our contribution is the use of a nonlinear sliding mode control using a fuzzy mutual reference adaptive system observer based on two fuzzy adaptation mechanisms to estimate both rotor speed and stator resistance. The proposed work was verified and compared by simulation and tested in various ranges of speed with motor and regenerating regions of operation. The results show that the proposed approach has proved good effectiveness in tracking and observation.</span>


Author(s):  
Bin Chen ◽  
Jingjun Yu ◽  
Guanghua Zong ◽  
Jing Kuang

This paper presents a dynamic analysis and a sliding mode control approach for high speed tracking control of a 2-DOF spherical parallel mechanism with a redundant branch. The kinematics of this mechanism is briefly introduced, two of three branches are actuated and the rest one is a passive branch. The dynamic model is built based on Lagrange method and simplified to develop a real-time controller. The control scheme is designed given that only the angle and angular velocity of actuators are measureable. First a Quasi-sliding mode control algorithm is proposed to compensate the parameter perturbation and reduce the chattering phenomenon, and then the trending law is introduced to decrease the regulation time of tracking control. Lyapunov theory is performed to guarantee that the controller design is stable. Finally, experiment based on a prototype of SPM is carried out to verify the effectiveness of the proposed method.


2011 ◽  
Vol 7 (1) ◽  
pp. 19-24
Author(s):  
Aamir Hashim Obeid Ahmed ◽  
Martino O. Ajangnay ◽  
Shamboul A. Mohamed ◽  
Matthew W. Dunnigan

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3083
Author(s):  
Mohamed Amine Fnaiech ◽  
Jaroslaw Guzinski ◽  
Mohamed Trabelsi ◽  
Abdellah Kouzou ◽  
Mohamed Benbouzid ◽  
...  

This paper presents a newly designed switching linear feedback structure of sliding mode control (SLF-SMC) plugged with an model reference adaptive system (MRAS) based sensorless field-oriented control (SFOC) for induction motor (IM). Indeed, the performance of the MRAS depends mainly on the operating point and the parametric variation of the IM. Hence, the sliding mode control (SMC) could be considered a good control alternative due to its easy implementation and robustness. Simulation and experimentation results are presented to show the superiority of the proposed SLF-SMC technique in comparison with the classical PI controller under different speed ranges and inertia conditions.


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