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neuro-fuzzy logic controller

Voltage and Current Harmonics Minimization in Single Phase Sine Wave Voltage Source Inverter Using Neuro -Fuzzy Controller

Voltage and Current Harmonics Minimization in Single Phase Sine Wave Voltage Source Inverter Using Neuro -Fuzzy Controller

... from fuzzy control and neural networks had acknowledged a significant role in improving controller ...based Fuzzy logic controller which modifies the characteristics of the rules, ...

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Artificial Neuro Fuzzy Logic PID Controller based on BF-PSO Algorithm

Artificial Neuro Fuzzy Logic PID Controller based on BF-PSO Algorithm

... PID controller is elementary controller which is used in industries on account of its simple implementation, robust nature and only three tuning parameters 1 but when conventional techniques fails, ...

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Design of Neuro Fuzzy Controller for a Rotary Dryer

Design of Neuro Fuzzy Controller for a Rotary Dryer

... neural controller this knowledge is embedded in the structure and the synaptic weights of the ...in fuzzy logic. Fuzzy controllers use fuzzy compositional rules to arrive at their ...

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Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS

Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS

... projected neuro fuzzy controller incorporates fuzzy logic algorith m with a five layer artificial neural network (ANN) structure as shown in [21, 22] ...

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Optimization of a fuzzy logic controller for MR dampers using an adaptive neuro-fuzzy procedure

Optimization of a fuzzy logic controller for MR dampers using an adaptive neuro-fuzzy procedure

... systems. Fuzzy logic controllers can closely imitate human reasoning and control procedures enabling the use of previous experience and experimental results in designing simple and model-free control ...the ...

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Brushless DC Motor Speed Control using PID Controller, Fuzzy Controller, and Neuro Fuzzy Controller

Brushless DC Motor Speed Control using PID Controller, Fuzzy Controller, and Neuro Fuzzy Controller

... Brushless dc motors (BLDC motors) are commonly used nowadays in industry and at many applications according to its very high speed with a very compact size in comparison to the older motors with brushes, moreover the ...

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Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS

Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS

... a Fuzzy Logic Controller (FLC) and Adaptive Neuro Fuzzy Inference (ANFIS) controller is investigate in different operating ...

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Analysis of speed control of Brushless D.C   Motor using Hybrid Fuzzy Controller

Analysis of speed control of Brushless D.C Motor using Hybrid Fuzzy Controller

... Modern speed control techniques for variable speed drives have been changed drastically as compared to their conventional counterparts. Before evolution of power electronics, conventional (e.g. field and armature flux) ...

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Design and Analysis of Neuro Fuzzy Logic PD Controller for PWM Based Switching Converter

Design and Analysis of Neuro Fuzzy Logic PD Controller for PWM Based Switching Converter

... the Neuro-Fuzzy logic based controller design for the buck DC-DC ...a Neuro-Fuzzy PWM based PD controller is ...the Neuro logic based PD controller ...

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Comparative Study of a Fuzzy Logic Based Controller and a Neuro-Fuzzy logic Based Controller for Computer Fan

Comparative Study of a Fuzzy Logic Based Controller and a Neuro-Fuzzy logic Based Controller for Computer Fan

... The controller on the other hand sends signals as to how the fan operates or ...of fuzzy logic and artificial neural network as well as the combination of both are introduced to build controllers so ...

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A Comparative Analysis of Fuzzy Based Hybrid Anfis Controller for Stabilization and Control of Nonlinear Systems

A Comparative Analysis of Fuzzy Based Hybrid Anfis Controller for Stabilization and Control of Nonlinear Systems

... a Fuzzy logic controller was designed using triangular and trapezoidal shape Membership functions ...trapezoidal fuzzy controller shows better results in comparison to triangular ...

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IMPLEMENTION OF NEURO-FUZZY BASED BUCK BOOST CONVERTER ON FPGA

IMPLEMENTION OF NEURO-FUZZY BASED BUCK BOOST CONVERTER ON FPGA

... Traditional frequency domain methods for design of controllers for power converters are based on small signal model of the converter. The small signal model of the converter has restricted validity and changes due to ...

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CONTROLLING PIDs USING NEURO FUZZY EXPERT SYSTEMS.

CONTROLLING PIDs USING NEURO FUZZY EXPERT SYSTEMS.

... PID controller is specifically useful since it tries to minimize the steady state error as well as increase the response or speed of the system, thereby incorporating the benefits of proportional derivative and ...

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Simulation of Speed control of switched reluctance motor using ANFIS

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 ...

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Title: Relevance of Neural Network in Fault Detection of Single Phase Induction Motor

Title: Relevance of Neural Network in Fault Detection of Single Phase Induction Motor

... of Neuro fuzzy controller used in the advanced fuzzy logic fault detector for detecting the incipient motor faults in single phase induction ...of Fuzzy Systems and Neural ...

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Automatic room temperature control

Automatic room temperature control

... A controller can then sample the current ambient air temperature and adjust the speed of the compressor ...of fuzzy controller is the compressor speed that has 4 different modes that are off, low, ...

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Adaptive Self‐Tuning Fuzzy Controller for a Soft Rehabilitation Machine Actuated by Pneumatic Artificial Muscles

Adaptive Self‐Tuning Fuzzy Controller for a Soft Rehabilitation Machine Actuated by Pneumatic Artificial Muscles

... model-based controller design. Hence, an adaptive self-tuning fuzzy controller which integrated adaptive fuzzy sliding mode control and func- tional approximation can be designed to solve ...

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Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation

Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation

... type-2 fuzzy logic in which the gradient descend algorithm and the neuro- fuzzy-genetic hybrid approach have been used in order to teach the type-2 fuzzy ...with ...

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Optimization of functional Spirulina cookies on their sensory attributes

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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A Fuzzy Logic Based Two Inductor Boost Converter System

A Fuzzy Logic Based Two Inductor Boost Converter System

... as, fuzzy controller (FC) has shown high potential for converter applications ...[10]. Fuzzy logic controller has the advantage that it can be designed without the exact model of the ...

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