adaptive neuro-fuzzy logic control
Enhanced StatCom and Adaptive Neuro Fuzzy Logic Control at Grid Integrated FSIG Type Wind Farms under Asymmetrical Fault Condition Sonali Dalai & Abdul Khadar Asundi
... The greatest advantage of an induction generator is its simplicity. As there is not the necessity of a separate field circuit and it is not necessary to drive it at fixed speed continuously induction generators are more ...
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Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS
... Oriented Control (IFOC) and parallel connection of two ...decoupled control of flux and torque for each motor and their concert in different operating ...Speed control of two Double Star Induction ...
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Active Suspension System Control Using Adaptive Neuro Fuzzy (ANFIS) Controller
... Nonlinear control method for active suspension systems was designed by Lin and ...mode control scheme was ...and fuzzy logic with passive ...
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Adaptive Fuzzy-Neuro-Wavelet Dynamic Sliding-Mode Control for a BLDC Motor
... programmable logic device. It consists of thousands of logic gates, some of which are combined together to form a configurable logic block thereby simplifying high-level circuit ...internal ...
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Advanced Dynamic Path Control of the Three Links SCARA Using Adaptive Neuro Fuzzy Inference System
... Adaptive Neuro Fuzzy Inference System (ANFIS) is an artificial intelligence technique, which creates a fuzzy inference system based on the input-output model data pairs of the ...with ...
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Adaptive Neuro-Fuzzy Control Approach for a Single Inverted Pendulum System
... intelligent control system using an adaptive neuro-fuzzy inference system (ANFIS) to stabilize the inverted pendulum system while tracking the desired ...An adaptive ...
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Design adaptive neuro-fuzzy speed controller for an electro-mechanical system
... armature control method was widely used for the speed control of low power DC ...The adaptive neuro-fuzzy inference system (ANFIS), developed in the early 1990s by Jang [1], combines ...
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Adaptive neuro-fuzzy control of an induction motor
... a neuro-fuzzy controller have 72 rules, where these rules used to give appropriate ...digital logic signals, that select the proper switching states of the inverter by using logical operation ...
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Analysis of Control of Inverted Pendulum using Adaptive Neuro Fuzzy system
... Fuzzy logic controller for Inverted Pendulum: It can be built into anything from small, hand-held products to large computerized process control ...
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Artificial Neuro Fuzzy Logic PID Controller based on BF-PSO Algorithm
... i.e. neuro control online adaption of parameters is an important ...any fuzzy control, we have multiple strategies: a) mf adjustment, b) modification of scaling factor c) change in rule ...
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Simulation of Speed control of switched reluctance motor using ANFIS
... speed control of switch reluctance motor is carried out using different speed ...and Fuzzy logic controller separately and their result is ...is Adaptive Neuro based Fuzzy ...
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Optimization of a fuzzy logic controller for MR dampers using an adaptive neuro-fuzzy procedure
... structural control systems. Fuzzy logic controllers can closely imitate human reasoning and control procedures enabling the use of previous experience and experimental results in designing ...
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Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type-2 Based Fuzzy Inference System
... paper, adaptive network based fuzzy inference system (ANFIS) was used in control applications of a Heat Exchanger as interval type-2 fuzzy logic controller ...Two adaptive ...
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Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS
... Oriented Control (IFOC) and parallel connection of two ...decoupled control of flux and torque for each motor and their concert in different operating ...Speed control of two Double Star Induction ...
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Enactment investigation of indirect vector control induction motor using various predictive controller
... Smart control has been developing area of investigation to advance the dynamic performance of ...on fuzzy logic, neural networks and other computation intellect proposals to deal the dynamics of ...
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Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)
... propagation Adaptive Neuro-Fuzzy Inference Systems (ANFIS) algorithm are considered and included to replace the conventional method of Proportional Integral and ...and fuzzy logic ...
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Intelligent controllers for velocity tracking of two wheeled inverted pendulum mobile robot
... to control its velocity because of its nature of pitch falling if left ...TWIP. Fuzzy Logic Control (FLC), Neural Network Inverse Model control (NN) and an Adaptive ...
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Determination Of Adaptive Control Parameter Using Fuzzy Logic Controller
... novel fuzzy-adaptive control law in order to increase tracking performance of the robot ...a fuzzy logic control rule is designed for control parameter ...the ...
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Adaptive Neuro-Fuzzy System for Cancer
... ANFIS and ANN architecture has been designed and implemented in this work. The applicability of artificial neural network and Adaptive Neuro fuzzy Inference System in classification of the stages of ...
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Performance Analysis of Fuzzy based MRAC and Sliding Mode Controls of Vector Controlled Induction Motor Drive
... second fuzzy controller tunes the slip gain based on combined detuning error and its slope so as to ensure fast convergence at any operating point on torque-speed ...the fuzzy logic controller ...
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