An adaptive neuro-fuzzy inference system (ANFIS) based model reference adaptive control (MRAC) approach for vector controlled induction motor drive system is proposed in this paper. Due to the complex and nonlinear ...

Inverted pendulum system is a well-known conventional tool used to test the success and the ability of the various control methods. Inverted pendulum system consists of mostly an inverted pendulum and a movable cart that ...

Endüstride değişken hızlı tahrik sistemlerinde doğru akım (DC) makinaları yerine ataletlerinin düşük olması, olumsuz ortam koşullarına dayanıklı olmaları, düşük maliyet, bakım gerektirmemeleri, fırça ve kolektör bulundurmamaları ...

In recent years, fuzzy logic based modeling and control methods have been increasingly used in the academic field. Inverted pendulum system consists of conventional materials with nonlinear dynamic structure in order to ...

In this paper, the radial basis function neural network-based model reference adaptive speed control for vector controlled induction motor drive system is presented. The speed control of induction motors is challenging ...

There are difficulties in control of induction motors which are widely used in industrial applications due to their nonlinear complicated structures. Nowadays the use of advanced control methods along with technological ...

In this paper a simulation study of Adaptive Sugeno type Fuzzy Logic Control (FLC) for indirect field oriented controlled (IFOC) asynchronous motor drive system have been suggested. The structure of control scheme consists ...

In the speed control of induction motors, an acceptable good performance cannot be obtained by using traditional feedback controllers due to the non-linear structure of the system, the effects of changing environmental ...

In speed control of induction motors, generally the performance of induction motor by feedback controllers has been insufficient due to non-linear structure of the system, changing environmental conditions, and undesired ...

In this study, a robust speed control based on adaptive neuro-fuzzy inference technique is proposed for asynchronous motors driven by indirect field oriented vector algorithm. The speed control performance of asynchronous ...