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logic controllers

Programmable Logic Controllers

Programmable Logic Controllers

... The requirement for higher quality and reliability in control techniques has stemmed from a constant demand for better and more efficient and process machinery. Smart, condensed solid-state electronic devices have made ...

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A 
		comparative study of fuzzy logic controllers for BLDC motor drive

A comparative study of fuzzy logic controllers for BLDC motor drive

... This paper presents comparative simulation study of conventional PI, fuzzy and hybrid fuzzy PID controllers of three phases BLDC Motor. In conventional PI control, parameters of PI controller are fixed as the ...

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VHDL AMS based genetic optimisation of fuzzy logic controllers

VHDL AMS based genetic optimisation of fuzzy logic controllers

... Fuzzy logic controllers, due to their ability of handling uncertain and complex systems, have emerged as a promising technique for high-performance AASSs (Son and Isik, 1996; Barr and Ray, 1996; Al-Holou et ...

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Novel Fuzzy Logic Controllers with Self-Tuning Capability

Novel Fuzzy Logic Controllers with Self-Tuning Capability

... fuzzy logic controller in real-time [13], it was found that it is not necessary to use large number of ...fuzzy logic controller to stabilize the double link inverted pendulum which exhibits severe ...

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A Sophisticated Algorithm for Using Fuzzy Logic Controllers in Adaptive Cruise Controller Systems

A Sophisticated Algorithm for Using Fuzzy Logic Controllers in Adaptive Cruise Controller Systems

... fuzzy logic-based method to make an optimal decision for an autonomous vehicle, design of adaptive neurofuzzy inference system (ANFIS) models for predicting the future of the stop & go is presented in [11], ...

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Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution

Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution

... Suboptimal controllers are frequently used. However, it is a fact that the properties of the controlled system given in matrix A change over time, due to ageing and different working conditions etc., even though ...

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Fuzzy Logic Based Reactivity Control in Nuclear Power Plants

Fuzzy Logic Based Reactivity Control in Nuclear Power Plants

... fuzzy logic controllers for reactivity control element of a nuclear reactor is presented and the Simulation results illustrate the feasibly in application of possible Fuzzy ...fuzzy controllers by ...

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Software Defined Networks in Industrial Automation

Software Defined Networks in Industrial Automation

... Abstract: Trends such as the Industrial Internet of Things and Industry 4.0 have increased the need to use new and innovative network technologies in industrial automation. The growth of industrial automation ...

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Speed Control of PMSM Motor Using Fuzzy and PID Controller

Speed Control of PMSM Motor Using Fuzzy and PID Controller

... two controllers namely, proportional-integral- derivative (PID) controller and fuzzy logic controller for the speed control of a phase controlled converter dc excited motor-generator ...fuzzy logic ...

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Design and Implementation of Intelligent Controller for a Continuous Stirred Tank Reactor System

Design and Implementation of Intelligent Controller for a Continuous Stirred Tank Reactor System

... fuzzy logic controllers is implemented to the process, the problems of inverse response and delay time are controlled in the ongoing process and are removed considerably but then it is showing instability ...

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Design and implementation of fuzzy logic controller for intelligent gantry crane system

Design and implementation of fuzzy logic controller for intelligent gantry crane system

... fuzzy logic controllers were compared experimentally with the PID and PD controllers which are designed and discussed in ...proposed controllers as well as the classical PID controllers ...

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... fuzzy logic controller is the elicitation of the control rules for its rule ...fuzzy logic controllers is derived by extending an algorithm that enables a single-input-single-output fuzzy ...

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Comparison of Speed Control of DC Motor Using PID Controller and Optimization Techniques

Comparison of Speed Control of DC Motor Using PID Controller and Optimization Techniques

... In this paper Speed response characteristics of separately excited dc motor were obtained by mathematical model using MATLAB coding and SIMULINK model. In this paper speed of D.C. motor is controlled by four methods of ...

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Performance Assessment of a Wind Turbine using Fuzzy Logic and Artificial Network Controllers

Performance Assessment of a Wind Turbine using Fuzzy Logic and Artificial Network Controllers

... This paper is organized as follows. Section 1 is the introduction which includes the background of renewable energy, and the purpose of this paper. Section 2 illustrate Wind Turbine array model. Section 3 present TSR, ...

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A Novel Control for Reactive Power Compensation and Improve Power Factor with Statcom Configuration

A Novel Control for Reactive Power Compensation and Improve Power Factor with Statcom Configuration

... voltage controllers for STATCOM control are designed based on fuzzy logic control method to remove fluctuations and also it improves the magnitude of the ...

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Design Of Control And Integration Strategy For Multiple Handling System Using Programmable Logic Controller

Design Of Control And Integration Strategy For Multiple Handling System Using Programmable Logic Controller

... integration between them. The slider is connected to a programmable logic controller, while each conveyor is connected to an electric plug without the use of a controller. A limit switch is attached to the slider ...

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Design, Implementation and Evaluation of Fuzzy Logic and PID Controllers for Fuel Cell Systems

Design, Implementation and Evaluation of Fuzzy Logic and PID Controllers for Fuel Cell Systems

... Fuzzy logic is a theory that has been developed which colloquially refers to the modeling of uncertainty and vagueness of ...Fuzzy logic is based on fuzzy sets and so-called membership functions that ...

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Simulation of Speed control of switched reluctance motor using ANFIS

Simulation of Speed control of switched reluctance motor using ANFIS

... (17) As is known, the adaptive controllers suffer from parameter drafting. Since all the estimated parameters are bounded, the controller will be stable. However, parameters will not necessarily converge to their ...

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Controlling and Protection of Three Phase Induction Motor Using PLC

Controlling and Protection of Three Phase Induction Motor Using PLC

... The PLC used here is a DELTA DVP-EX series manufactured by DELTA electronics. The EX series is the analog MPU with the lowest cost. It has got a total of 20 MPU points (8DI/6DO, 4AI/2AO). Apart from supporting digital ...

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Modelling Of Induction Motor And Its Performance With PI,PID(NZ METHOD),PI(ZP) , FUZZY and Generalised Predictive Control

Modelling Of Induction Motor And Its Performance With PI,PID(NZ METHOD),PI(ZP) , FUZZY and Generalised Predictive Control

... Fuzzy logic controller gave a response with lesser peak but the overshoot percentage of GPC is of higher ...conventional controllers designed by Zeigler-Nicolas method gives better performance than Fuzzy ...

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