18 results with keyword: 'automated car braking system using fuzzy logic controller'
This project is to design a Fuzzy Logic Controller and Proportional Integral Derivative Controller that can be use to control a car brake automatically.. Thus, the scopes that need
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KEY WORDS: Active suspension system, fuzzy logic controller, PID controller, Genetic algorithm, quarter- car reference
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In this project one solution is implemented and analyzed which is using single track model mathematical model and fuzzy logic controller strategy.. A steering control
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For the fuzzy logic controller the input variables are error (E) and rate change of error ( ∆ ), and the output variable is controller output (Speed).. Triangular membership
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Microprocessor based Temperature Monitoring and icece040l Control System using Fuzzy Logic
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The fuzzy logic controller can be used for decision making process to select either mechanical braking or regenerative braking of electric vehicle because
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The result achieved the design of fuzzy logic system integrated with electronics hardware of automated light controller to obtain automatic intensity of the
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In the second one, the vehicle (difference in coefficient of friction of the two sides of the vehicle) is skidded and distracted due to road conditions. Hence,
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Then fuzzy logic controller that is used to control is worn the boiler system by given value to it by using its membership functions values.. Since FUZZY logic controller is
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The sub-block for the maximum power point tracking control by using the fuzzy logic controller, here the Fuzzy logic controller is independent of the controller
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a) MATLAB Simulink software is used to simulate the incremental fuzzy logic controller system developed. b) The controller type is an Incremental Fuzzy Logic Control system. c)
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Index Terms - LabVIEW, lighting control system, MATLAB Fuzzy Logic Toolbox, fuzzy logic controller, SISO, DISO..
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Comparative Analysis of Power System Total Harmonics During Fault using Overcurrent Relay Implementing.. Fuzzy
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1) Mamdani System – This method is widely accepted for capturing expert knowledge. It allows us to describe the expertise in more intuitive, more human-like
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Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based onK. Incremental
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The fuzzy logic controller has two inputs, which are the error and the change in error as calculated using Equations 2 and 3 and has one output, which is the duty cycle.. Figure -5
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The Fuzzy logic controller is (FLC) used as the controller part here for the direct vector control of Induction Motor using Sinusoidal PWM Inverter (SPWM).. Fuzzy logic controller
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It proved that the fuzzy logic controller successfully control the overshoot value better than system without fuzzy logic controller with the same input voltage 24V
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