adaptive fuzzy-neuro control
Adaptive neuro-fuzzy control of an induction motor
... motor control problems, because they are sensitive to drive parameters variations and performance may deteriorate if conventional controllers are ...many control methods of induction machines, one of the ...
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Active Suspension System Control Using Adaptive Neuro Fuzzy (ANFIS) Controller
... Bell-shaped membership functions are used to model the inputs and outputs. By choosing these membership functions, each input signal is assigned to all linguistic groups which can reduce the ambiguity in the border ...
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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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Advanced Dynamic Path Control of the Three Links SCARA Using Adaptive Neuro Fuzzy Inference System
... Torque Control (CTC) is commonly used in the research ...some adaptive approaches have been proposed to maintain the tracking performance of the robotic manipulator in the presence of structured ...motion ...
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Speed Control Enhancement Of A Chopper Fed Separately Excited Dc Motor Using Adaptive Neuro Fuzzy Controller
... In a DC motor the power supply directly connects to the field of the motor and causes a precise voltage control which is essential for applications which need control of speed and torque. Because of various ...
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Adaptive Fuzzy-Neuro-Wavelet Dynamic Sliding-Mode Control for a BLDC Motor
... a fuzzy wavelet neural network (FWNN) is proposed ...real-time adaptive control system ...closed-loop control system, a switching compensator is designed to dispel the approximation ...the ...
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Adaptive Neuro-Fuzzy Control Approach for a Single Inverted Pendulum System
... inverted pendulum. The input-output data for tuning the controller were collected from a linear quadratic regulator (LQR) controller. The data needed to be as accurate as possible since it would heavily affect the rules ...
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Analysis of Control of Inverted Pendulum using Adaptive Neuro Fuzzy system
... technique, fuzzy controller, has been employed for stabilization of the inverted ...pendulum. Fuzzy controller, when inverted pendulum is considered, is a very good choice for control ...
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Optimum Setting Strategy for WTGS by Using an Adaptive Neuro Fuzzy Inference System
... For the WTGS control, usually, we just concern the con- trol method more. However, in the industrial process, the correct setting values also matter a lot. As to realize the maximum energy capture in the operation ...
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Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... Adhoc networks form without a need of centralized controller. It do not require any wired infrastructure for inter communication. Adhoc networks can change location rapidly and configure it because they use wireless ...
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PI adaptive neuro-fuzzy and receding horizon position control for intelligent pneumatic actuator
... requirements, the interests of researchers extended to control the force, stiffness and viscosity of the pneumatic actuators. 2 Based on the historical development, pneumatic systems were created since the 16th ...
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Adaptive Neuro Fuzzy Inference System control of active suspension system with actuator dynamics
... suspension. Fuzzy controller has ability to predict the behaviour of system without any mathematical model of a ...introduced fuzzy controller for active suspension using quarter car model where suspension ...
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Implementation of Adaptive Neuro Fuzzy Inference System in Speed Control of Induction Motor Drives
... The purpose of this paper is to present a general method for estimating both the nature of the dynamic response and the values of the significant parameters and operating constraints of typical induction machines con- ...
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Response Simulation, Data Cleansing and Restoration of Dynamic and Static Measurements Based on Deep Learning Algorithms
... The adaptive neuro-fuzzy inference system (ANFIS) is a family of deep learning algorithm, which incorporates the benefits of adaptive control technique, artificial neural network, and ...
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Efficiency of genetic algorithms in intelligent hybrid control systems
... The paper is devoted to features of genetic algorithms application in intelligent hybrid control systems. We demonstrate a general view over the model of hybrid adaptive control system. Also we ...
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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 ...a fuzzy system by ...
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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 fuzzy ...an ...
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Neuro-Fuzzy DC Motor Speed Control Using Particle Swarm Optimization
... Sugeno fuzzy model is the most widely applied one for its high interpretability and computational efficiency, and built-in optimal and adaptive ...Sugeno fuzzy model, a common rule set with two ...
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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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Cultural Steward – New Role for HR
... inventory control is important thing for food companies. The adaptive inventory control is able to adapt to changes in the environment, maintain system performance and stability in the face of ...
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