In this paper an implementation of unified intelligent controller methods for voltage controlled PWM driven three phase Induction Motor drive system has been developed and analyzed in detail. The Induction motor drive system involve dynamic d-q model in synchronously rotating frame. The performance of proportional controller (PI), Fuzzy and Artificial Neural Networks (ANN) has been investigated through MATLAB/Simulink environment. Finally the results are compared and validate that ANN is predictable, greater and give better responses than Fuzzy and PI controllers.
In this paper, the hybrid direct torque control (DTC) technique is proposed for controlling the speed of the induction motor (IM). The hybrid technique is the combination of an enhanced firefly algorithm (FA) and the adaptive neuro fuzzy inference system (ANFIS) technique. The performance of the FA is improved by updating the randomized parameter. Here, the genetic algorithm (GA) is utilized for updating the parameter and improved the performance of the FA. Initially, the actual torque and the change of toque are applied to the input of the enhanced FA and form the electromagnetic torque as a dataset. The output of the enhanced FA is given to the input of the ANFIS which is determined from the output of interference system. The dynamic behavior of the IM is analyzed in terms of the parameters such as the speed, torque, flux, etc. Based on the parameters, the motor speed is controlled by utilizing the proposed technique. Then the output of the ANFIS is translated into the stator voltage which is given to the input of the support vector machine (SVM). After that, the control signal is generated for controlling the speed of the IM. The proposed hybrid technique is implemented in the Matlab/Simulink platform. The performance analysis of the proposed method is demonstrated and contrasted with the existing techniques such as without controller, particle swarm optimization (PSO)-based ANFIS and FA-ANFIS controller.
This paper deals mainly with the improvement of linear load current profile considering different grid conditions. A popular power conversion circuit known to be a Matrix Converter was considered to study the effects on the quality of electrical power supply. This advanced converter configured with power semiconductor devices effectively optimizes the harmonic components of linear type loads with the aid of various controllers like PI, Fuzzy, Adaptive Fuzzy and ANFIS models. The simulation studies and subsequent comparisons are derived for the proposed system on MATLAB/SIMULINK package under balanced and distorted grid conditions.
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