adaptive neuro-fuzzy controller design
NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML BEHAVIORAL DESIGN
... PI, fuzzy, hybrid fuzzy-PI, GA-PI and adaptive neuro-fuzzy inference system (ANFIS) controller based soft switching inverter using transformer, which can generate dc link voltage ...
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Design of Neuro Fuzzy Controller for a Rotary Dryer
... modern adaptive control techniques, Direct PID controller, Fuzzy logic controller (FLC) and Neuro- Fuzzy controller, in order to control the Rotary Dryer plant process, ...
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Design and Analysis of Adaptive Neuro Fuzzy Controller based Pitch Angle Controlled Wind Turbine for PMSG System
... Hence, adaptive Fuzzy logic controllers (FLC) have been presented to adapt the input–output membership functions ...(ANN) controller has exposed in handling with the characteristics of system's ...
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Power Factor Correction of Three Phase Diode Rectifier at Input Stage Using Artificial Intelligent Techniques for DC Drive Applications
... current controller, Fuzzy Logic Controller (FLC) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and the results are compared for the power factor ...improvement. ...
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Active Suspension System Control Using Adaptive Neuro Fuzzy (ANFIS) Controller
... A suspension is normally divided into the following categories depending upon the principle of operating; the passive suspension consists of springs and dampers, the semi-active suspension using a variable damper and the ...
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Adaptive Neuro fuzzy Controller for Multi layered Switched Reluctance Motor
... torque ripples. There was no shaft, and the cylindrical rotor was designed to grade the air gap, and consequently the reluctance; which reduced ripples in the torque characteristic. Shang and Shing [6] changed the stator ...
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Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... control, enhancement of transient stability, mitigation of system oscillations and voltage regulation [2]. A comprehensive and systematic approach for mathematical modeling of UPFC for steady-state and small signal ...
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Simulation of Speed control of switched reluctance motor using ANFIS
... and Fuzzy logic controller separately and their result is ...PI controller and other one is Adaptive Neuro based Fuzzy logic ...PI controller is a special case of the PID ...
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Control of Non Linear Two Mass Drive System using ANFIS
... of Adaptive neuro fuzzy inference system (ANFIS) controller to a non-linear system which is made out of an engine where motor is associated with the load machine through a ...ANFIS ...
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EFFICIENCY INCREASING FUNCTION FOR PMSM DR IVE USING ADAPTIVE FUZZY LOGIC CONTROLLER
... an adaptive speed controller for the PMSM using the Adaptive Neuro-Fuzzy Inference ...algorithm design methodology that has been presented in this paper shows its effectiveness ...
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An Adaptive Neuro Fuzzy Speed Controller for a Separately excited DC Motor
... an Adaptive Neuro Fuzzy Inference System (ANFIS) controller using error and derivative of error inputs is proposed for the speed control of a separately excited dc motor (SEDCM) using chopper ...
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Adaptive Modulation Using Neuro-Fuzzy (N-F) Controller for OFDM System
... are adaptive OFDM ...in adaptive modulated systems change modulation scheme (or order) depending on instantaneous Signal to Noise Ratio (SNR) to attain superior performance and capacity compared to fixed ...
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Speed Control Enhancement Of A Chopper Fed Separately Excited Dc Motor Using Adaptive Neuro Fuzzy Controller
... PI controller. Usually the performance of that controller is found satisfactory during the motor speed control at the steady ...PI controller based chopper fed speed control mechanism, is very poor ...
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LOAD FREQUENCY CONTROL OF HYBRID POWER SYSTEM USING INTELLIGENT CONTROLLERS
... PI controller is that it minimizes the steady state error to ...PI controller with preset gains has been considered at nominal working conditions, but over a large range of working conditions it fails to ...
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Adaptive Fuzzy-Neuro-Wavelet Dynamic Sliding-Mode Control for a BLDC Motor
... The proposed AFDSC algorithm is realized in the Nios II programming interface. The BLDC motor system offers high performance and simple operation from a compact driver and motor. The specification of the adopted BLDC ...
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Optimization of functional Spirulina cookies on their sensory attributes
... the controller, which depends on movement monitoring sensors of the steering wheel and the movement of the structure in order to keep the vehicle in the best possible stable ...robust controller for modern ...
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Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing
... In current study, the architecture of ANFIS with six MFs (membership functions) such as triangular, trapezoidal, bell-shaped Gaussian and Gaussian2 and PI as an input model were used. Also, the MF number was various ...
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Speed Response of Brushless DC Electric Motor Based ANFC Tuned PID Controller under Different Load Condition
... (PID) controller and distinct techniques known as Adaptive Neuro Fuzzy Controller (ANFC) through simulation of speed torque characteristics curves, which generated based on the ...
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CONTROLLING PIDs USING NEURO FUZZY EXPERT SYSTEMS.
... rendered. Fuzzy logic can render crisp values as the output subsequent to ...Fuzzification. Fuzzy rule based learning generally utilizes the uncertainty in the outcomes the PID parameters which generally ...
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Wireless and Mobile Technologies
... namely; fuzzy layer, product layer, normalized layer, de-fuzzy layer, and summation (total output) layer as shown in Figure ...an adaptive node. Assuming that the fuzzy inference system under ...
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