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model reference based fuzzy control

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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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

... vector control different speed estimation methods have been proposed such as Extended kalman filter [1], sliding mode control [2], MRAS [3], [5] and [6], direct calculation ...

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Enhanced Fuzzy Model Reference Learning Control for Conical Tank Process

Enhanced Fuzzy Model Reference Learning Control for Conical Tank Process

... the control of non linear ...mathematical model of the spherical tank level system is derived and simulation runs are carried out by considering the EFMRLC in a closed ...Network based IMC PI and ...

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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 ...

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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

... typical control problems. It is known that a descriptor model describes a practical system better than a standard dynamic model [5]– ...for fuzzy control design of T-S fuzzy ...

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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

... Internal Model Control (IMC) philosophy relies on the Internal Model Principle, which states that control can be achieved only if the control system encapsulates, either implicitly or ...

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Adaptive Model Reference Hierarchical Sliding Mode Control of Uncertain Underactuated Systems with Time Delay and Dead-Zone Input

Adaptive Model Reference Hierarchical Sliding Mode Control of Uncertain Underactuated Systems with Time Delay and Dead-Zone Input

... delay. Fuzzy logic systems are used to approximate the unknown nonlinear functions by some adaptive ...laws. Based on the Lyapunov-Krasovskii stability theorem, the proposed incremental hierarchical ...

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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 ...

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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

... the control of non linear ...mathematical model of the spherical tank level system is derived and simulation runs are carried out by considering the EFMRLC in a closed ...Network based IMC PI and ...

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The Smith-PID Control of Three-Tank-System Based on Fuzzy Theory

The Smith-PID Control of Three-Tank-System Based on Fuzzy Theory

... dynamic model of the subsystem well. Fuzzy adaptive sliding mode control scheme and it’s strengthen scheme were used in uncertain systems and nonlinear uncertain systems in [5] and ...[6]. ...

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Fuzzy Logic Based Synchronous Reference Frame Control of MLI- STATCOM in Distribution Network

Fuzzy Logic Based Synchronous Reference Frame Control of MLI- STATCOM in Distribution Network

... signal model and its control method was applied to the control of boost ...converters. Fuzzy controllers do not require an exact mathematical ...designed based on general knowledge of ...

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Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems

Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems

... is Model Predictive Control based on Fuzzy Logic, Genetic Algorithms or B&B, and Adaptive Control ...technique based on the error between the reference and the ...the ...

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PERFORMANCE COMPARISON OF BOOST CONVERTER BY USING FUZZY LOGIC CONTROLLER

PERFORMANCE COMPARISON OF BOOST CONVERTER BY USING FUZZY LOGIC CONTROLLER

... A fuzzy bilinear state feedback controller based on Tagaki–Sugeno (TS) fuzzy bilinear model for DC–DC converters is presented [9] ...bilinear model via Taylor series ...converter ...

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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 ...

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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 ...

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Transient Stability Enhancement of SMIB System with Fuzzy Based PSS Controller and UPFC Using MATLAB Simulink

Transient Stability Enhancement of SMIB System with Fuzzy Based PSS Controller and UPFC Using MATLAB Simulink

... Excitation System with PSS: The simplified IEEE type-ST1A excitation system is considered in this thesis. The diagram ofthe IEEE Type- ST1A excitation system is shown in figure 6. The inputs to the excitationsystem are ...

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A Comparison of Controllers for Balancing Two Wheeled Inverted Pendulum Robot

A Comparison of Controllers for Balancing Two Wheeled Inverted Pendulum Robot

... LQR control schemes, the comparison made in [9], had shown that the LQR controller performed better than the PFL controller in terms of settling time, percent overshoot and the required starting torque, while the ...

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Fuzzy Computational Model for Emotion Regulation Based on Affect Control Theory

Fuzzy Computational Model for Emotion Regulation Based on Affect Control Theory

... to control and balance their possible extreme lev- els of ...computational model of emotions is the mainly non-quantitative nature of this prob- ...a Fuzzy logic approach as a possible framework for ...

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Fuzzy Logic controller Based Adaptive Dc Link Voltage Control For Common Point Interface Voltage Variations in a 3- Phase Grid Tied SPV system

Fuzzy Logic controller Based Adaptive Dc Link Voltage Control For Common Point Interface Voltage Variations in a 3- Phase Grid Tied SPV system

... The use of two stage SPV generation system has been proposed by several researchers. Conventionally a DC-DC converter is used as first stage which serves the purpose of MPPT. The duty ratio of DC-DC converter is so ...

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Multivariable Q parametrization for Rejection of Harmonic Disturbances

Multivariable Q parametrization for Rejection of Harmonic Disturbances

... desired reference trajectories and the outputs of the ...the control signals u 1 ( ) k and u 2 ( ) k ...the reference trajectories with periodic error due to the presence of external harmonic ...

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