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, fuzzy ...
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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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A Genetic Algorithm Based Neuro Fuzzy Controller for the Speed Control of Induction Motor
... Equations (1) – (8) are used to simulate the total drive. The block diagram of the indirect FOC of induction motor based on proposed NFC is shown in Fig.1. The configuration of the total drive consists of an induction ...
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DEVELOPMENT OF NEURO FUZZY CONTROLLER ALGORITHM FOR AIR CONDITIONING SYSTEM
... the neuro-fuzzy controller algorithm for air conditioning ...system. Neuro-fuzzy control combines the learning capabilities of neural networks and control capabilities of fuzzy ...
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Design of Neuro Fuzzy Controller for a Rotary Dryer
... PID controller, Fuzzy logic controller (FLC) and Neuro- Fuzzy controller, in order to control the Rotary Dryer plant process, then see the behavior of the plant specially for the ...
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Adaptive Neuro fuzzy Controller for Multi layered Switched Reluctance Motor
... There has been big interest in switched reluctance motor (SRM) due to its simplicity and reasonable cost, however excessive torque ripple is one of the major disadvantages of switched reluctance motor. This paper ...
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Neuro fuzzy Controller for High Performance Induction Motor Drives
... The induction motor model with ac voltage controller is developed in Matlab/Simulink. In this model, the independent variables are SCR firing angle α and load torque T L . The power converter fed motor model is ...
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Speed Control Enhancement Of A Chopper Fed Separately Excited Dc Motor Using Adaptive Neuro Fuzzy Controller
... PI controller, employed in the chopper fed speed control mechanism, is found satisfactory during the motor speed ...PI controller based chopper fed speed control mechanism, during the speed control of DC ...
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Vibration reduction for vision systems on board UAV using a neuro-fuzzy controller
... In this article, an intelligence control strategy based on a semi-active approach is presented in order to improve the performance of a low-cost vision system onboard a UAV. In the following section, a description of the ...
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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 Networks. ...
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An Adaptive Neuro Fuzzy Speed Controller for a Separately excited DC Motor
... 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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Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... damping controller for UPFC was presented in this paper. The controller was designed for a single machine infinite bus ...damping controller were compared with simulation results for the system ...
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Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS
... projected neuro fuzzy controller incorporates fuzzy logic algorithm with a five layer artificial neural network (ANN) structure as shown in [21, 22] ...
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EFFICIENCY INCREASING FUNCTION FOR PMSM DR IVE USING ADAPTIVE FUZZY LOGIC CONTROLLER
... speed controller for the PMSM using the Adaptive Neuro-Fuzzy Inference ...the fuzzy controller manually by trial and ...other fuzzy controllers that have been proposed in the ...
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Simulation of Speed control of switched reluctance motor using ANFIS
... (17) As is known, the adaptive controllers suffer from parameter drafting. Since all the estimated parameters are bounded, the controller will be stable. However, parameters will not necessarily converge to their ...
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Classification of MRI Brain Images Using Neuro Fuzzy Model
... A neuro-fuzzy classifier is used to detect the abnormalities in the MRI brain images. Generally the input layer consist of seven neurons corresponding to the seven features. The output layer consist of one ...
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Response Simulation, Data Cleansing and Restoration of Dynamic and Static Measurements Based on Deep Learning Algorithms
... output‑based neuro controller was built based on the idea of the adaptive neuro‑fuzzy inference sys‑ tem (ANFIS) and its capabilities in response simulation, data cleansing and restoration ...
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Active Suspension System Control Using Adaptive Neuro Fuzzy (ANFIS) Controller
... proposed by Aubouet, et al.[8]. Nonlinear control method for active suspension systems was designed by Lin and Kanellakopoulos[9]. The robust controlling technique for active suspension systems was proposed by Yahaya et ...
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LOAD FREQUENCY CONTROL OF HYBRID POWER SYSTEM USING INTELLIGENT CONTROLLERS
... adaptive neuro fuzzy interference system because it deals with nonlinearities and does not require exact numerical modeling of the system ...ANFIS controller has the potential to give an enhanced ...
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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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