A Variable Universe Self-Tuning Fuzzy-PI Speed Controller for Induction Motor with DTC-SVM

2015 ◽  
Vol 741 ◽  
pp. 734-738
Author(s):  
Hong Xia Yu ◽  
Zhi Cheng Chen

In the paper, To control the speed of induction motor drive with DTC-SVM, A variable universe self-tuning fuzzy-PI(VUFPI) controller was designed based on the concept of variable universe to generate the torque reference value, Two inputs of the fuzzy controller are speed error and error change rate, the output of the fuzzy controller are adjustment parameters (,) of PI controller parameters (Kp, Ki), the input and output variable universe of fuzzy controller were regulated by scale factor which is calculated according to error grade, The simulation results show that the proposed method has fast response speed and lower torque ripple.

2014 ◽  
Vol 699 ◽  
pp. 759-764
Author(s):  
Amilia Emil Hasan ◽  
Haryani Hassan ◽  
Ismadi Bugis

This paper presents the speed performance of an induction motor by using a vector control. The control scheme used is an indirect vector control for define speed command. The main focus of this research is to observe on the dynamic speed performance of the induction motor when the command speed is given to the motor. In this study, the system of indirect vector control will be built by using Matlab Simulink. In fact, the expression of exciting flux linkage and electromagnetic torque are used to create a simple embedded system which to find out the effects of flux weakening in motor while, the gain of the speed controller is 100. The result shows that the vector control method will cause immediate the motor speed response with a small electromagnetic torque ripple. Furthermore, the output mechanical torque starts to decrease when the motor speed above the base speed to maintain a constant output power operation. This paper contributes a new algorithm to analysis the system when the speed motor is higher than a base speed.


2014 ◽  
Vol 20 (6) ◽  
Author(s):  
J. Kriauciunas ◽  
R. Rinkeviciene ◽  
A. Baskys

2014 ◽  
Vol 539 ◽  
pp. 630-634
Author(s):  
Jie Liang

Along with the development of modern science and technology information, fuzzy control theory based on its unique advantage becomes more and more popular with scientists and engineers, therefore it is quickly applied to all walks of life, and is one of the advanced teaching theory introduced in educational industry. Firstly, on the basis of mapping between classical set and fuzzy set, the paper comprehensively analyzes the intelligent fuzzy control theory. Based on the improved fuzzy controller which is self-correcting through scale factor and quantification factor, we establishes the fuzzy control model of moral education. In order to verify the feasibility of the model, we design the fuzzy controller to carry out the applied simulation by using the MATLAB fuzzy logic toolbox, and the results show that the system has fast response, strong adaptability, and good steady-state performance.


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