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This paper introduces a hybrid fuzzy based PID controller to improve the performance of power system stabilization. The inadequately damped electromechanical motions in power frameworks has been an issue to power engineers for quite a while. This restrains the ability of transfer of power in transmission lines and further incites worry in the mechanical shaft of machine. Owing to large scale interconnections...
This paper presents a hybrid fuzzy sliding mode controller for control of speed in a BLDC motor drive. For the most part, Brushless DC motors have been utilized as a part of different modern and local applications due to its favorable characteristics such as straightforward structure, extensive torque, long utilize time, great speed regulation. However the BLDC motor frameworks have questionable and...
In this paper a Neural Network Observer is designed for sensorless vector control of a PMSM drive. The Neural network observer is designed to give the estimate of speed and position using direct and quadrature current and voltage components. The proposed Neural Network Observer design provides robust estimation of speed. The neural network offers advantage in terms of reduced mathematical computations...
Vector control of PMSM drives compared to induction motor drives is simpler and easier to implement resulting in high drive performance. As a result, PMSM drives are finding increased use in industrial applications. For further performance improvement of vector controlled drives, speed controllers need to be robust and highly adaptive. This paper presents a comparative analysis of various speed control...
This paper proposes the improvement in the operation of power system stabilizer (PSS) using a combination of sliding mode control(SMC) and fuzzy logic. The objective is to enhance the small signal stability of the power system by effectively damping the low frequency oscillations and thereby increase the power transfer capability. The conventional PSS results in the poor performance at different operating...
SIMULINK implementation of an artificial neural network (ANN) based Direct Torque Control (DTC) of Induction Motor Drive is presented in this paper. DTC is one of the most advanced control methods. Using DTC, an induction motor is driven by an inverter whose switching pattern is determined by the errors in the reference and estimated values of the machine flux and torque. To optimize the performance...
MATLAB / SIMULINK implementation of the Direct Torque Control Scheme for induction motors is presented in this paper. Direct Torque Control (DTC) is an advanced control technique with fast and dynamic torque response. The scheme is intuitive and easy to understand as a modular approach is followed. A comparison between the computed and the reference values of the stator flux and electromagnetic torque...
Induction motor drives are at the heart of modern industrial and commercial applications. With conventional control techniques, induction motor drives have shown less than expected dynamic performance. With vector control techniques emerging as potential replacement in induction motor drives, this paper aims at highlighting various vector control strategies. Direct and indirect vector controls along...
This paper presents the sensorless control of PMSM drive using Extended Kaiman filter (EKF). The state space model of PMSM is developed and EKF is used for speed and position estimation. Speed control is carried out using Integral Sliding mode controller (SMC). With Integral SMC, the dynamic performance of the drive is improved under varying load conditions and parameter variations. MATLAB simulation...
A vector controlled drive based on hybrid fuzzy-sliding mode controller (FSMC) is presented in this paper for improving the dynamic performance of the PMSM drive. Sliding mode controller is a non-linear controller and hence is effective for parameter variations and disturbances. Different types of membership functions are studied for speed control to compensate for the chattering effect otherwise...
A vector controlled induction motor drive with fuzzy based sliding mode controller (SMC) is presented in this paper for improving the dynamic performance of the drive. The fuzzy based SMC employed for speed control compensates for the chattering effect otherwise present with SMC. MATLAB simulation of the scheme for a 5HP, 460 V (50Hz) induction motor is presented to analyse the performance of fuzzy...
With the application of intelligent controllers for a vector controlled induction motor drive, it is possible to achieve high dynamic performance drives. In this paper an Artificial Neural-Fuzzy Inference System (ANFIS) is implemented for a vector controlled induction motor. The efficiency of the system is also improved using an optimisation algorithm wherein the rotor flux weakening is done as the...
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