linear control system, Summaries of Linear Control Systems

summarize notes from control system engineering by norman nise 7 edition chap 2

Typology: Summaries

2025/2026

Available from 03/01/2026

melon.mp4
melon.mp4 🇵🇰

9 documents

1 / 64

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Linear Control Systems
(EEN-412)
Week: 01Lecture: 01, 02, 03
Engr. Dr. Ghulam Fareed Laghari
Robotics and Intelligent Systems (RIS)
Department of Electrical Engineering
Bahria University (BU)
H-11 Campus, ISLAMABAD
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff
pf12
pf13
pf14
pf15
pf16
pf17
pf18
pf19
pf1a
pf1b
pf1c
pf1d
pf1e
pf1f
pf20
pf21
pf22
pf23
pf24
pf25
pf26
pf27
pf28
pf29
pf2a
pf2b
pf2c
pf2d
pf2e
pf2f
pf30
pf31
pf32
pf33
pf34
pf35
pf36
pf37
pf38
pf39
pf3a
pf3b
pf3c
pf3d
pf3e
pf3f
pf40

Partial preview of the text

Download linear control system and more Summaries Linear Control Systems in PDF only on Docsity!

Linear Control Systems

(EEN-412)

Week: 01 → Lecture: 01, 02, 03

Engr. Dr. Ghulam Fareed Laghari Robotics and Intelligent Systems (RIS) Department of Electrical Engineering Bahria University (BU) H-11 Campus, ISLAMABAD

COURSE CONTENTS

[continued…]

COURSE CONTENTS

[continued…]

COURSE CONTENTS → Course Objective

➢This course provides students with a strong foundation in linear control systemsFocusing on their role in robotics and intelligent systems ➢Students will: ▪ Explore the modeling of dynamic systems using transfer functions and state-space methodsStudy system response in time and frequency domains ▪ Apply classical stability analysis techniques. ➢Emphasis is placed on: ▪ Designing and implementing feedback controllers to:

  • Enhance stability , accuracy , and performance in: o Robotic Manipulators , Mobile Robots , and Autonomous Systems [continued…]

COURSE CONTENTS → Resources

➢ TEXTBOOK:

▪ Control System Engineering by Norman Nise , 7

th

th

Edition

➢ REFERENCE BOOK:

▪ Modern Control Engineering by Katsuhiko Ogata , 5

th

Edition

▪ Control Systems by Anand Kumar , 2

nd

Edition

CONTENT

Linear SystemsLinear and Nonlinear SystemsControl SystemsDefinitionControl SystemsComponents / ConstituentsControl SystemsEXAMPLE: Elevator SystemControl SystemsPerformance Measures of a Control SystemControl SystemsAdvantages of Control SystemsControl SystemsApplications of Control SystemControl SystemsSystem ConfigurationsOpen-Loop Control SystemsControl SystemsSystem ConfigurationsClosed-Loop/Feedback Control SystemsControl SystemsReal-World ExamplesAutomated vehiclesControl SystemsReal-World ExamplesRotating disk speed control

Linear Systems

What is a Linear System?

Linear SystemsExplanation ➢A linear system satisfies the properties of both superposition and homogeneity. ➢These properties define how inputs relate to outputs in a predictable, proportional way. 1 ) SUPERPOSITION: ▪ The response of a system to multiple inputs is the sum of the responses to each input individually. ▪ Mathematical form: If 𝒙𝟏 → 𝒚𝟏 and 𝒙𝟐 → 𝒚𝟐 then: 𝒙𝟏 + 𝒙𝟐 → 𝒚𝟏 + 𝒚𝟐 ▪ Advantage: Helps us analyze complex inputs as the sum of simpler ones. 2 ) HOMOGENEITY (SCALING): ▪ Scaling ( multiplying ) the input by a factor scales ( multiplies ) the output by the same factor. ▪ Mathematical form: If 𝒙𝟏 → 𝒚𝟏 then for any constant 𝜶 : 𝜶𝒙𝟏 → 𝜶𝒚𝟏 ▪ Advantage: Ensures the system responds proportionally to changes in input.

Linear and Nonlinear Systems

What is the difference between

Linear and Nonlinear Systems?

Linear and Nonlinear SystemsDifferenceNONLINEAR SYSTEM: Any system that does not satisfy superposition or homogeneity. ❑ Nonlinear systems have other types of properties , depending on their nature: ▪ Stability properties

  • Lyapunov stability
  • Asymptotic stabilityTime-domain properties
  • Bounded Input–Bounded Output (BIBO) stability: Output remains bounded for bounded inputs. ▪ Phase-space behavior
  • analyzed via phase portraits , limit cycles , and attractors. ▪ Nonlinear phenomena unique to these systems:
  • Bifurcations: Small changes in parameters cause sudden qualitative changes in behavior.
  • Chaos: Sensitive dependence on initial conditions.
  • Hysteresis: Output depends on history, not just current input.

Control SystemsA Simple Explanation

❑A control system is a system that automatically manages or regulates how

something works.

❑It takes an input , processes it, and produces a desired output.

▪ Input-output relationship describes the cause-and-effect behavior of a

process that transforms an input signal into a desired output.

❑The goal is to make things work correctly , stably , and efficiently.

What is a Control System? FIGURE 1: Process to be controlled by the system

Control SystemsDefinition

➢A control system is an interconnection of subsystems ( components ) and

processes ( plants ), forming a system configuration assembled for the purpose of

obtaining a desired output with desired performance , given a specified input.

➢ In simple words:

▪ A control system is a collection of parts (subsystems) that work together to

produce a desired output for a given input.

▪ The goal of a control system is to achieve the output accurately , effectively ,

and with good performance.

▪ Briefly, a control system makes sure that what we want happens the right way.

Control SystemsEXAMPLE: Elevator System ▪ You are on the 1st floor and press the 4th-floor button. ▪ Pressing the button is the input (what you want). ▪ The elevator moving upward is the system. ▪ Reaching the 4th floor stably and accurately is the output. ➢The elevator is designed to:

  • Move at a comfortable speed
  • Stop exactly at floor level [continued…]

Control SystemsEXAMPLE: Elevator SystemDesired Output as a Step Input ▪ When you press the button, the request is sudden and fixed.

  • This type of input is called a step input , as shown in FIGURE 3(a). ▪ The elevator’s movement over time is called the response. ▪ The performance of the elevator can be seen from the elevator response curve in FIGURE 3(a). FIGURE 3(a): Elevator Response