'Steady state error' diaporamas de présentation

Chapter 9 Design of Control Systems

Chapter 9 Design of Control Systems. Automatic Control Systems, 9 th Edition F. Golnaraghi & B. C. Kuo. 1, p. 487. 9-1 Introduction. Control system design involves the following 3 steps: Determine what the system should do and how to do it ( design specifications )

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An Overview of Control Theory and Digital Signal Processing

An Overview of Control Theory and Digital Signal Processing. Luca Matone Columbia Experimental Gravity group ( GECo ) LHO Jul 18-22, 2011 LLO Aug 8-12, 2011 LIGO-G1100863. Syllabus (tentative). Objective. Control System Manages and regulates a set of variables in a system

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Controller Design, Tuning

Controller Design, Tuning. Performance Criteria for Closed-loop systems. Must be stable. Provide good disturbance rejection---minimizing the effects of disturbance. Have good set-point tracking---Rapid, smooth responses to set-point changes Eliminate steady state error (zero offset)

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By: Engr. Irfan Ahmed Halepoto Assistant Professor

AUTOMATION & ROBOTICS. LECTURE#11 PID CONTROL. By: Engr. Irfan Ahmed Halepoto Assistant Professor. Integral Term. While the proportional term considers the current size of e(t) only at the time of the controller calculation, the integral term considers the history of the error,

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Chapter 4: Basic Properties of Feedback

Chapter 4: Basic Properties of Feedback. Part D: The Classical Three- Term Controllers. Basic Operations of a Feedback Control. Think of what goes on in domestic hot water thermostat: The temperature of the water is measured.

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Stability Analysis for Control Systems

Stability Analysis for Control Systems. Compiled By: Waqar Ahmed Assistant Professor Mechanical UET, Taxila. Sources for this Presentation 1. Control Systems, Western Engineering, University of Western Ontario, Control, Instrumentation & electrical Systems

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Educational Model of Control System for Robot Arm

SYS 5100 - Modern Control Engineering - Winter 2007. Educational Model of Control System for Robot Arm. Team Members : Irena Karasik Sylvain Ganter Olivier Paultre Jeong Ja Kong

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Modern Control System EKT 308

Modern Control System EKT 308. Steady-State and Stability. Quick Review. Laplace transform Poles and zeros , transfer function Simplification complex block diagram, signal flow diagram State space modeling Modeling physical systems Time response of first and second order systems.

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Modern Control System EKT 308

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Controller design by R.L.

Controller design by R.L. Typical setup:. C(s). G(s). Controller Design Goal: Select poles and zero of C(s) so that R.L. pass through desired region Select K corresponding to a good choice of dominant pole pair. Types of classical controllers. Proportional control

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LINEAR CONTROL SYSTEMS

LINEAR CONTROL SYSTEMS. Ali Karimpour Assistant Professor Ferdowsi University of Mashhad. Topics to be covered include : Transient response of a prototype second order system Damping ratio and damping factor. Natural undamped frequency and damped frequency. Percent overshoot.

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Recap of Session VII

Recap of Session VII. Recap of Session VII Chapter II: Mathematical Modeling. Mathematical Modeling of Mechanical systems Mathematical Modeling of Electrical systems Models of Hydraulic Systems Liquid Level System Fluid Power System. Mathematical Modeling: Thermal Systems. T ov.

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Adaptive Robust Control F or Dual Stage Hard Drives

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Udacity lesson 5: Robot Motion

Udacity lesson 5: Robot Motion. Agenda. Path Smoothing PID. Motivation. In motion planning, we learned to plan a path But how do we turn that discrete path into an actual continuous path, that the robot can follow efficiently?

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Design & Compensation via Root Locus

Design & Compensation via Root Locus. imtiaz.hussain@faculty.muet.edu.pk. Contents. Compensation Lead Compensation Lag Compensation Lag-Lead Compensation. Compensator. Plant. G. (. S. ). G. (. S. ). c. -. H. (. S. ). Compensation .

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Control Theory

Control Theory. Integral Action. The formulas. Introduction. Steady state error of the servo problem to a step of size 1 (r 0 =z 0 =0) ?. 0 2 K c + ? None of the above. [Default] [MC Any] [MC All]. Integral Action.

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Intelligent Steering Using PID controllers

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The Self Organizing Fuzzy PID Controller

The Self Organizing Fuzzy PID Controller. ?? : ??? ?? ?? : ???. Abstract. Conceptual development of a SOF-PID controller and applies it to a non-linear revolute-joint robot-arm.

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MATLAB Program for a Vehicle-Tracking Robotic Car

MATLAB Program for a Vehicle-Tracking Robotic Car. Allen Lin Rutgers University NASA SHARP High School Apprenticeship Program mentored by Dr. Baruh. Background. Possible use on Moon or Mars Adaptive cruise control MATLAB. 1-D Model.

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Control Theory

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