fuzzy controller


A fuzzy control system is a control system based on fuzzy logic—a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1, in contrast to classical or digital logic, which operates on discrete values of either 1 or 0 (true or false, respectively
Behavior-based neuro- fuzzy controller for mobile robot navigation
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INTRODUCTION FUZZY logic control (FLC) is well suited for controlling a robot because it is capable of making inferences even under uncertainty . Having a hierarchical architecture that divides the FLC into several smaller subsystems will reduce the negative effect that a large

A rule-based fuzzy logic controller for a PWM inverter in a stand alone wind energy conversion scheme
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The paper presents a rule-based fuzzy logic controller to control the output power of a pulse width modulated (PWM) inverter used in a stand alone wind energy conversion scheme (SAWECS). The self-excited induction generator used in SAWECS has the inherent problem

An intelligent hybrid fuzzy PID controller
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In this study, a design methodology is introduced that blends the classical PID and the fuzzy controllers in an intelligent way and thus a new intelligent hybrid controller has been achieved. Basically, in this design methodology, the classical PID and fuzzy controller have

A neuro- fuzzy controller with a compromise fuzzy reasoning
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It is well known that the fuzzy -logic control does not require a conventional model of the process, contrary to the classical control techniques, which are based on analytical or experimental models. Moreover, traditional controllers cannot incorporate the linguistic fuzzy information

Design mathematical tunable gain PID-like sliding mode fuzzy controller with minimum rule base
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In this study, a mathematical tunable gain model free PID-like sliding mode fuzzy controller (GTSMFC) is designed to rich the best performance. Sliding mode fuzzy controller is studied because of its model free, stable and high performance. Today, most of systems (eg, robot

Hardware implementation of a general purpose fuzzy controller
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Fuzzy inference techniques are becoming an attractive approach to solve control and decision-making problems. This is mainly due to its inherent ability to manage the intuitive and ambiguous behavioural rules given by a human operator to describe a complex system

Design and performance of PID and fuzzy logic controller with smaller rule set for higher order system
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The proportional integral derivative (PID) controller is the most widely used control strategy in industry. The popularity of PID controllers can be attributed partly to their robust performance in a wide range of operating conditions and partly to their functional simplicity

Self-tuning fuzzy PI controller and its application to HVAC systems
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In this paper, a Self-tuning Fuzzy PI controller is used for the supply air pressure control loop for Heating, Ventilation and Air-Conditioning (HVAC) system. The self-tuning Fuzzy PI controller (STFPIC) is adjusted the output scaling factor on-line by fuzzy rules according to

A fuzzy logic controller for synchronous machine
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Fuzzy logic or fuzzy set theory is recently getting increasing emphasis in process control applications. This paper presents an application of fuzzy logic to control the speed of a synchronous machine (SM). Based on the analysis of the SM transient response and fuzzy

Design a new sliding mode adaptive hybrid fuzzy controller
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One of the most important challenges in nonlinear, multi-input multi-output (MIMO) and time variant systems (eg, robot manipulator) is designing a controller with acceptable performance. This paper focuses on design a new sliding mode on-line tunable gain hybrid

Speed control of DC motor using fuzzy PID controller
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In this paper we have designed a DC motor whose speed can be controlled using PID controller . The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are adjusted according to FUZZY LOGIC. First, the fuzzy logic controller is designed according to

Vehicle fuzzy controller design using imperialist competitive algorithm
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In this paper a novel socio-politically inspired optimization strategy, an Imperialist Competitive Algorithm, is applied to the problem of designing a fuzzy controller . The goal is to design a controller to enhance the transient and steady state behaviour of the system

Speed control of brushless DC motor using genetic algorithm based fuzzy controller
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The brushless DC motor (BIBCM) is receiving wide attention for industrial applications because of their high torque density, high efficiency and small size. Conventional eontrollers suffer hm uncertain parameters and the non-linear of the BLDCM. The fuzzy control has

Design of Model Free Adaptive Fuzzy Computed Torque Controller : Applied to Nonlinear Second Order System
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In this study, a model free adaptive fuzzy computed torque controller (AFCTC) is designed for a twodegree-of freedom robot manipulator to rich the best performance. Computed torque controller is studied because of its high performance. AFCTC has been also included

Auto tuning of fuzzy PI type controller using fuzzy logic
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In this paper, a simple and effective method for tuning of fuzzy PI (proportional-integral) controller based on fuzzy logic is proposed. Here the input scaling factors are tuned online by gain updating factors whose values are determined by rule base with the error and

Artificial control of PUMA robot manipulator: A-review of fuzzy inference engine and application to classical controller
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One of the most important challenges in the field of robotics is robot manipulators control with acceptable performance, because these systems are multi-input multi-output (MIMO), nonlinear and uncertainty. Presently, robot manipulators are used in different (unknown

Intelligent controller for mobile robot: Fuzzy logic approach
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A key issue in the research of an autonomous mobile robot is the design and development of an intelligent controller which can control and enables the robot to navigate in a real world environment, avoiding structured and unstructured obstacles especially in crowded and

Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator
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International Journal of Artificial Intelligence and Expert Systems (IJAE), Volume (2) : Issue Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator Farzin Piltan SSP.ROBOTIC

Real-time performance evaluation of a fuzzy PI+ fuzzy PD controller for liquid-level process
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In this paper, a comparative study was carried out to evaluate the real-time performance of fuzzy proportional-integral plus fuzzy proportional-derivative ( Fuzzy PI+ Fuzzy PD) controller with the real-time performance of Conventional PI for a liquid-level process experiment. The

A New Estimate Sliding Mode Fuzzy Controller for Robotic Manipulator
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One of the most active research areas in field of robotics is control of robot manipulator because this system has highly nonlinear dynamic parameters and most of dynamic parameters are unknown so design an acceptable controller is the main goal in this work. To




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