In order to find the minimum of the input power signal ,in motor’s steady state , We change the flux value in small steps starting from flux nominal value and we gather

A fuzzy logic based optimum SCR firing angle identification is developed for efficiency maximization of variable-voltage partly loaded induction motor drive. The rule base

optimal fuzzy logic controller [51], fuzzy controller [52–54], neuro-fuzzy [55–57], genetic fuzzy logic controller (GFLC) [58], fuzzy control strategy based on a neural

Keywords : Direct torque control, adjustable speed drives, feedback linearization, induction motor drives, sliding mode control, fuzzy logic

This transformation results in reduction of output voltage obtained from the three phase voltage source inverter and applied to the stator input terminals of

‘The WR’s downfall was caused by economic issues rather than weakness of the constitution.’ ‘The WR’s downfall was caused by economic issues rather than weakness of

Keywords : Double Star Induction Motor (DSIM), Fuzzy logic controller (FLC), Indirect Field Oriented Control (IFOC), Adaptive Neuro Fuzzy Inference (ANFIS), and Six

Simulation was performed by utilizing the proposed ANFIS based Neuro-Fuzzy controller , Fuzzy Logic controller ( Mamdani model) and the regular PI controller to the hybrid

, "Efficiency optimization of induction motor using a fuzzy logic based optimum flux search controller," in International Conference on Power Electronics, Drives and

Direct Torque Control technique with Neuro-Fuzzy controller is compared with the FDTC (Fuzzy based Direct Torque Controller) and C_DTC (Conventional Direct Torque

The Speed control of two Double Star Induction Motors working in parallel configuration with IFOC using a Fuzzy Logic Controller (FLC) and Adaptive Neuro Fuzzy Inference

This thesis presents the design and analysis of Neuro Fuzzy controller based on Adaptive Neuro-Fuzzy inference system (ANFIS) architecture for Load frequency

This paper presents a hybrid control strategy called Neuro-Fuzzy Sliding Mode Control (NFSMC) based on the Brushless Doubly fed Induction Generator (BDFIG).. This replaces

This paper attempts to augment the performance of single phase induction motor by using advanced fuzzy logic controller or Neuro fuzzy in AFLFD system .The

The speed controllers applied here are based on conventional PI controller and other one is Adaptive Neuro based Fuzzy logic controller.. The PI controller is a

Figure 10: Comparison in torque of Induction Motor for 3-level inverter DTC with and without Neuro-Fuzzy controller The figure above shows the flux response of induction

Drupal, which is one of the most common open source CMS/Fs (http://trends. builtwith.com/cms), already presents some contributions to Bioinformatics and TM: the GMOD

Fuzzy logic control has attracted an intensive attention in the field of motor drives [1], whether in speed control [2] or current control [3]. It has been a reliable