Control systems lecture 01 04, Lecture notes of Control Systems Analysis

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CONTROL SYSTEMS

MEC 2825

Dr. Mohammad Abdelrahman Semester I 2014/

Control Systems MEC 3825

Three Credit Hrs – Core Course Assessment: Midterm 30% - Assignments and Quizzes 20% - Projects 10% - Final Examination 40%. Venue: E2-1- Time: 11:30 -12:50 pm T-TH

• Lecture: Dr. Mohammad Abdelrahman
• Room: E1-2-16.
• Contacts: Email: [email protected] Office: 03-6196- H/P: 017-240-
• Consultation Hrs: 2-3 pm M/W

Course Overview

• Introduction; Modeling in Frequency Domain, Modeling in Time Domain, Time Response, Reduction of Multiple Systems, Stability, Steady State Errors, Root Locus Technique, Design via Root Locus.

Chapter One

Introduction

• Learning Outcomes
  • Define a control system and describe some applications
  • Describe historical developments leading to modern day control theory
  • Describe the basic features and configurations of control systems
  • Describe control systems analysis and design objectives
  • Describe a control system's design process
  • Describe the benefit from studying control systems
• Case Study Learning Outcomes
  • An antenna azimuth position control system

Advantages of Control Systems

• We build control systems for four primary reasons:
• 1. Power amplification
• 2. Remote control
• 3. Convenience of input form
• 4. Compensation for disturbances For example, a radar antenna, positioned by the low- power rotation of a knob at the input, requires a large amount of power for its output rotation. A control system can produce the needed power amplification, or power gain.

System Configurations

• Open-Loop Systems
  • A generic open-loop system is shown in It starts with a subsystem called an input transducer, which converts the form of the input to that used by the controller.
• Closed-Loop (Feedback Control) Systems
  • The disadvantages of open-loop systems, namely sensitivity to disturbances and inability to correct for these disturbances, may be overcome in closed-loop systems

Analysis and Design Objectives

• Analysis is the process by which a system's performance is determined. For example, we evaluate its transient response and steady-state error to determine if they meet the desired specifications.
• Design is the process by which a system's performance is created or changed. For example, if a system's transient response and steady-state error are analyzed and found not to meet the specifications, then we change parameters or add additional components to meet the specifications.

• Transient Response
• Steady-State Response
• Stability

Total response = Natural response + Forced response

• Other Considerations