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In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of
Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL)
controller is used for controlling the rotor speed and Artificial Ne
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An Artificial Neural Network Based Robot Controller that Uses Rat’s Brain Signals
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This paper proposes a new MPPT controller. The proposed
MPPT controller is based on genetic algorithm (GA) optimized
artificial neural network (ANN). For the simulation purpose an
improved model of SPV is used. The MPPT is simulated and
studi
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The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
id
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Induction motor drive based on direct torque control (DTC) allows high dynamic performance to be obtained with very simple hysteresis control scheme.
Once the DTC is fully and deeply described, its main drawbacks are introduced. One of the goals of
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In this paper, the design of fractional-order PID controller is considered in order to minimize certain performance indices such as integral absolute error, integral square error and integral time absolute error. The design-construction leads to a hi
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In this paper optimal location and capacity of
Unified Power Flow Controller to improve the power system
stability using hybrid technique composed of ABC-GSA
algorithms is proposed. Here, the maximum power loss bus is
identified as the most s
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Artificial Neural Network-Based Controller for
Permanent Magnet Synchronous Motor Servo System
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