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fuzzy model reference control

Overspeed correction scheme for DC motor using artifical intelligent approach

Overspeed correction scheme for DC motor using artifical intelligent approach

... The fuzzy logic foundation is base on the simulation of people's opinions and perceptions to control any ...system model to design ...of reference model and response of PMDC motor by ...

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Sensorless Model Reference Adaptive Control of DFIG by Using High Frequency Signal Injection and Fuzzy Logic Control

Sensorless Model Reference Adaptive Control of DFIG by Using High Frequency Signal Injection and Fuzzy Logic Control

... adaptive reference model to directly control the active and reactive powers is ...and fuzzy blocks are used in the speed control ...the fuzzy controller is more robust against ...

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Fuzzy Model Reference Learning Control For Non-Linear Spherical Tank Process

Fuzzy Model Reference Learning Control For Non-Linear Spherical Tank Process

... Abstract Fuzzy Model Reference Learning Control (FMRLC) is an efficient technique for the control of non linear ...mathematical model of the spherical tank level system is ...

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Enhanced Fuzzy Model Reference Learning Control for Shell and Tube Heat Exchanger Process

Enhanced Fuzzy Model Reference Learning Control for Shell and Tube Heat Exchanger Process

... easy control problems due to their non- linear dynamic behavior, uncertain and time varying ...Especially, control of a level in a spherical tank is vital, because the change in shape gives rise to the non- ...

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A Study on Performance of Fuzzy Logic Type 2 PSS

A Study on Performance of Fuzzy Logic Type 2 PSS

... 2 Control technique (ANFIS), the second using a learning technique based on a model reference ...from fuzzy set and control theory, self-organizing control, and conventional ...

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Fuzzy Control Model Study on Precision Irrigation System for Water Stress in Crops

Fuzzy Control Model Study on Precision Irrigation System for Water Stress in Crops

... in reference[2] that agriculture irrigation using water occupied 70% of the whole world fresh water, and or so 40% was wasted owing to evaporation, deep sorption of soil ...

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Speed Control and Protection of Three Phase BLDC Motor with Hall Effect Sensor Using Neuro Fuzzy Logic Controller

Speed Control and Protection of Three Phase BLDC Motor with Hall Effect Sensor Using Neuro Fuzzy Logic Controller

... digital control of three phase BLDC motor. To design a neuro fuzzy logic control for speed control of BLDC ...problem, Fuzzy Logic controller with a Gaussian membership function is ...

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Model Reference Adaptive System based Speed Sensorless Control of Induction Motor using Fuzzy PI Controller

Model Reference Adaptive System based Speed Sensorless Control of Induction Motor using Fuzzy PI Controller

... stator-current model and compared with measured value to obtain the speed-error correction signal ...a Model Reference Adaptive System (MRAS) is used as the speed estimation technique, in which the ...

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1.
													Sensorless stator field oriented-direct torque control with svm for induction motor  drive

1. Sensorless stator field oriented-direct torque control with svm for induction motor drive

... Torque Control technique for induction motor (IM) ...the fuzzy logic controllers will supplant the conventional proportional integral (PI) controllers for stator motion and torque direction and to guarantee ...

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Modeling and Performance Analysis of Fuzzy Logic Controller Based Direct Torque Control of VLSI Fed Three

Modeling and Performance Analysis of Fuzzy Logic Controller Based Direct Torque Control of VLSI Fed Three

... overall model for fuzzy logic based speed control system for direct torque control induction motor drive is shown in ...the Fuzzy based DTC scheme of voltage source inverter-fed ...

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Sensorless Control of Induction Motor Drives at Low Speed Using Fuzzy Logic Control

Sensorless Control of Induction Motor Drives at Low Speed Using Fuzzy Logic Control

... Speed control of induction motor is more important to achieve maximum torque and ...Various control techniques such as scalar control, vector control, Sensor-less control are ...

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Enhanced Fuzzy Model Reference Learning Control for Conical Tank Process

Enhanced Fuzzy Model Reference Learning Control for Conical Tank Process

... Enhanced Fuzzy Model Reference Learning Control (EFMRLC) is applied in to a non linear conical tank ...the control loop in spherical tank system provides a superior tracking performance ...

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H∞ Tracking Performance Design for Fuzzy-Model-Based Descriptor Systems Subject to Parameter Uncertainties

H∞ Tracking Performance Design for Fuzzy-Model-Based Descriptor Systems Subject to Parameter Uncertainties

... observer-based fuzzy control scheme for a class of nonlinear descriptor systems with H ∞ tracking ...type fuzzy model. Then, a fuzzy controller is proposed to override the effect of ...

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Performance Analysis of Fuzzy based MRAC and Sliding Mode Controls of Vector Controlled Induction Motor Drive

Performance Analysis of Fuzzy based MRAC and Sliding Mode Controls of Vector Controlled Induction Motor Drive

... the fuzzy based MRAC and sliding mode controls for Indirect vector controlled induction motor ...specified reference speed irrespective of the variations in the load, motor parameters and model ...– ...

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Development of an automobile robot system 
		model based on soft computing in an unsteady environment

Development of an automobile robot system model based on soft computing in an unsteady environment

... simulation model of controller for an automobile robot as part of a convoy, based on soft ...a reference adaptive control model was developed, the rules of constructing the fuzzy rule ...

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Modelling and Fuzzy Logic Control of the Pitch of a Wind Turbine

Modelling and Fuzzy Logic Control of the Pitch of a Wind Turbine

... It The wind energy captured by the turbine can be increased by the following two control strategies: pitch control and stall control. The initial step in both strategies is to check the turbine’s ...

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Prediction Of Blood Sugar In People According To Such Inputs As Age, Simulation Level, Bmi, And Diet By Using Of Fuzzy Control And Adaptive Nero-Fuzzy Inference System(Anfis)

Prediction Of Blood Sugar In People According To Such Inputs As Age, Simulation Level, Bmi, And Diet By Using Of Fuzzy Control And Adaptive Nero-Fuzzy Inference System(Anfis)

... Dr. Sarbam and his co-workers began investigating various types of diabetes in 2011 and examined a number of optimal control methods, such as SNAC, ADS, and LQR. SNAC uses neural networks to solve revised non- ...

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A New Approach to Intelligent Model Based Predictive Control Scheme

A New Approach to Intelligent Model Based Predictive Control Scheme

... proposed control scheme, the multi-fuzzy-based predictive model approach is organized in accordance with the several fuzzy-based predictive model approa- ches, where each one of them is ...

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Implementation of Adaptive Embedded Controller for a Temperature Process

Implementation of Adaptive Embedded Controller for a Temperature Process

... Simulink model can be developed using the Arduino IO Library ...required control algorithms are developed using Simulink and Arduino support ...Simulink model to code, which runs directly on Arduino ...

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Soft Computing Application for Controlling Three Phase Induction Motor

Soft Computing Application for Controlling Three Phase Induction Motor

... a model [1] for synchronous machine with respect to stationary reference ...a model for induction machine with respect to stationary reference ...rotating reference frame which moves ...

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