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## Select Topic of Control Mode

### Total : 141 files, Page 14 of 15 pages

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PID Example DC Motor Speed Control
PID Example DC Motor Speed Control, With a 1 rad/sec step input, the design criteria are: • Settling time less than 2 seconds • Overshoot less than 5% • Steady-stage error less than 1% Now let's design a PID controller and add it into the system. First create a new m-file and type in the following commands

File size: 201.77 KB
File type: pdf

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Fuzzy expert systems
Fuzzy logic Introduction, or what is fuzzy thinking? Fuzzy sets Linguistic variables and hedges Operations of fuzzy sets Fuzzy rules Summary

File size: 106 KB
File type: ppt

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LINEAR CONTROL SYSTEMS
The process of achieving some desired performances in a dynamical system by manipulating the effective parameters in that system.

File size: 4.65 MB
File type: pdf

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Fuzzy Logic Tutorial
This is the second in a series of six articles intended to share information and experience in the realm of fuzzy logic (FL) and its application. This article will continue the introduction with a more detailed look at how one might use FL. A simple implementation will be explained in detail beginning in the next article. Accompanying outside references are included for interested readers.

File size: 425.69 KB
File type: pdf

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Fuzzy logic systems for engineering
FUZZY LOGIC SYSTEMS FOR ENGINEERING: A TUTORIAL. JERRY M. MENDEL. There is an Errata to this tutorial that is on the next two pages. ...

File size: 2.78 MB
File type: pdf

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LINEAR SYSTEMS AND CONTROL
Impulse responses, step responses and transfer functions.Summary The impulse response, step response and transfer function of a Linear, Time Invariant and causal (LTI) system each completely characterize the inputoutput properties of that system. Given the input to an LTI system, the output can be deterermined: In the time domain: as the convolution of the impulse response and the input. In the Laplace domain: as the multiplication of the transfer function and the Laplace transform of the input. They are related as follows: The step response is the integral of the impulse response. The transfer function is the Laplace transform of the impulse response.

File size: 154.25 KB
File type: pdf

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Fuzzy Control Systems Design and Analysis
This book gives a comprehensive treatment of model-based fuzzy control systems. The central subject of this book is a systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the so-called Takagi-Sugeno fuzzy model, a number of most important issues in fuzzy control systems are addressed. These include stability analysis, systematic design procedures, incorporation of performance specifications, robustness, optimality, numerical implementations, and last but not the least, applications. FUZZY CONTROL SYSTEMS DESIGN AND ANALYSIS A Linear Matrix Inequality Approach KAZUO TANAKA and HUA O. WANG,

File size: 5.4 MB
File type: pdf

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IMPLEMENTATION OF PID CONTROLLER FOR CONTROLLING THE LIQUID LEVEL OF THE COUPLED TANK SYSTEM
The PID controllers have found wide acceptance and applications in the industries for the past few decades. In spite of their simple structures, PID controllers are proven to be sufficient for many practical control problems.

File size: 1.2 MB
File type: pdf

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The PID Control Algorithm
How it works, how to tune it, and how to use it, Process control is the measurement of a process variable, the comparison of that variables with its respective set point, and the manipulation of the process in a way that will hold the variable at its set point when the set point changes or when a disturbance changes the process.

File size: 921.27 KB
File type: pdf

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FUZZY EXTREME LEARNING MACHINE ALGORITHM FOR MATRIX CONVERTER
This paper is focused on Fuzzy Extreme Learning Machine (ELM) algorithm based field oriented control system for induction motor fed by Matrix Converter drive.

File size: 309.36 KB
File type: pdf

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Topic: Process Control

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Topic: Distributed Control System DCS

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Topic: Distributed Control System DCS

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Topic: Electrical Systems

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Topic: CNC

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Topic: PLC (Programmable Logic Controller)

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Topic: PLC (Programmable Logic Controller)

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Topic: CNC

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