fuzzy model based control technique
Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems
... The technique is based on the fact that, in general, only a small number of possible solutions actually need to be enumerated, so the remaining solutions are eliminated through the application of bound, ...
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Hybrid Renewable based Dc Micro grid using Fuzzy Control Technique for Energy Management System
... simple fuzzy logic control is built up by a group of rules based on the human knowledge of system ...simulation model is built to study the dynamic behavior of dc-to-dc converter and ...
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Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique
... logic control provides an automatic control algorithm by using linguistic variables which may take any value between 0 and 1 [14] ...mathematical model and so the uncertainties such as non-linear ...
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Modeling and Performance Analysis of Fuzzy Logic Controller Based Direct Torque Control of VLSI Fed Three
... speed control system is not a trivial matter. Scalar speed control method has good steady state response but poor dynamic ...vector control was ...oriented control drive to achieve accurate ...
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An Efficient Fuzzy based Congestion Control Technique for Wireless Sensor Networks
... The fuzzy logic methodology helps us having a pro-active approach to solve QoS related ...issues. Fuzzy logic is very effective to manage the performance of a highly dynamic nonlinear system, ...
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COMPARSION BETWEEN NOMINAL AND FUZZY LOGIC CONTROL IN SPEED CONTROL OF D.C. MACHINE
... thyristor based circuits which are used for speed control of DC ...studies Fuzzy Logic speed control technique of DC motor and makes a comparative study with Nominal Model ...
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DYNAMIC SENSOR RELOCATION TECHNIQUE BASED LIGHT WEIGHT INTEGRATED PROTOCOL FOR WSN
... better control than the PI ...The Fuzzy membership functions are trained with the Neural Network nodes to have the control technique inherited into the ANFIS ...the fuzzy rules in its ...
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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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Online Full Text
... FNCAC model in the heterogeneous RATs supporting multimedia traffic is studied pitching upon the call blocking probability by varying the utilization rate of the aggregate traffic and the individual ...the ...
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Design and Implementation of Fuzzy Sliding Mode Controller for Switched Reluctance Motor
... technology based on engineering experience and observations. In fuzzy logic, an exact mathematical model is not necessary because linguistic variables are used to define system behavior rapidly ...A ...
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Modelling and Controller Design for Temperature Control of Power Plant Heat Exchanger
... designed based on a PID algorithm performs the reasoning through calculating the error and error derivative of the system by using type-2 fuzzy inference rules and adjusts the PID parameters by fuzzy ...
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Fuzzy modelling of hydrodynamics and mass transfer of drops in a rotating disc contactor column
... steady-state model for the mass transfer of the RDC ...steady-state model for the hydrodynamic process, and used fuzzy logic to predict the input parameter for the specific given ...transfer ...
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PI adaptive neuro-fuzzy and receding horizon position control for intelligent pneumatic actuator
... plant model is implemented in its discrete state-space form to have a direct feedback from the three states of the ...previous control signal (to be added to the following control signal ...current ...
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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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Performance Enhancement of Distributed System through Load Balancing and Task Scheduling
... a fuzzy based load balancing and task scheduling technique in distributed ...functions. Fuzzy rules are evaluated and as an outcome of fuzzy system, S’ nodes are classified into three ...
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PERFORMANCE COMPARISON OF BOOST CONVERTER BY USING FUZZY LOGIC CONTROLLER
... cycle based on the error signal [5]. Luo et al, presented the control strategy for the static synchronous compensator (STATCOM) used in utility distribution systems is investigated, and a novel ...
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Solar Powered Water Pumping Framework using Induction Motor
... to control speed, the terminal voltage is also varied so as to maintain the V/f ratio ...V/f Control is implemented, for various frequencies inside the operating region, the maximum torque remains the same ...
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... With the press of a button, from the input unit, the user selects the desired battery voltage to be charged (between 6volt, 9volt and 12volt). The microcontroller decodes the input selected and in turn sends the ...
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Hybrid algorithm for the control of technical objects
... classical control theory and fuzzy inference ...hybrid control system and its operating algorithm have been described ...the model for speed regulation of DC engine has been considered. ...
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Fuzzy Computational Model for Emotion Regulation Based on Affect Control Theory
... our model, this fact was taken into consideration by declaring a random number in a certain range in order to regulate the measurements of the emotional response ...our model comes from injecting a ...
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