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Control Engineering

Curriculum

  • 1 Section
  • 48 Lessons
  • 10 Weeks
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  • Control Engineering
    48
    • 2.1
      Lecture 1: The Control Problem
    • 2.2
      Lecture 2: Some More Examples
    • 2.3
      Lecture 3: Different kinds of Control Systems
    • 2.4
      Lecture 4: History of Feedback
    • 2.5
      Lecture 5: Modern Control Problems
    • 2.6
      Lecture 6: DC Motor Speed Control
    • 2.7
      Lecture 7: System Modelling, Analogy
    • 2.8
      Lecture 8: Causes of System Error
    • 2.9
      Lecture 9: Calculation of Error
    • 2.10
      Lecture 9: Calculation of Error
    • 2.11
      Lecture 10: Control System Sensitivity
    • 2.12
      Lecture 11: Automic Control of DC Motor
    • 2.13
      Lecture 12: Proportional Control
    • 2.14
      Lecture 13: Non-Unity Feedback
    • 2.15
      Lecture 14: Signal-Flow Graph
    • 2.16
      Lecture 15: Masons Gain Formula
    • 2.17
      Lecture 16: Signal-Flow Graph for DC Motor Control
    • 2.18
      Lecture 17: Steady-State Calculations
    • 2.19
      Lecture 18: Differential Equation Model & Laplace transformation Method
    • 2.20
      Lecture 19: D-Operator Method
    • 2.21
      Lecture 20: Second-Order System Response
    • 2.22
      Lecture 21: Frequency Response
    • 2.23
      Lecture 22: Laplace Transformation Theorems
    • 2.24
      Lecture 23: Final-Value Theorem
    • 2.25
      Lecture 24: Transfer Function and Pole-Zero Diagram
    • 2.26
      Lecture 25: Good Poles and Bad Poles
    • 2.27
      Lecture 26: Signal-Flow Graph with Transfer Functions
    • 2.28
      Lecture 27: s-Domain and t-Domain
    • 2.29
      Lecture 28: Second-Order System Response in s-Domain
    • 2.30
      Lecture 29: Integral Feedback
    • 2.31
      Lecture 30: Root-Locus Method
    • 2.32
      Lecture 31: Root-Locus Rules
    • 2.33
      Lecture 32: Asymptotes of Root Locus
    • 2.34
      Lecture 33: Routh Array
    • 2.35
      Lecture 34: Singular Cases
    • 2.36
      Lecture 35: Closed-Loop Poles
    • 2.37
      Lecture 36: Controller in the Forwarded Path
    • 2.38
      Lecture 37: Mapping of Control in the Complex-Plane
    • 2.39
      Lecture 38: Encirclement by a Curve
    • 2.40
      Lecture 39: Nyquist Criterion
    • 2.41
      Lecture 40: Application of the Nyquist Criterion
    • 2.42
      Lecture 41: Polar Plot and Bode Plots
    • 2.43
      Lecture 42: Logarithmic Scale for Frequency
    • 2.44
      Lecture 43: Asymptotic DB Gain
    • 2.45
      Lecture 44: Compensating Network
    • 2.46
      Lecture 45: Nichols Chart
    • 2.47
      Lecture 46: Time Domain Methods of Analysis and Design
    • 2.48
      Lecture 47: State-Variable Equations
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Lecture 44: Compensating Network
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Lecture 46: Time Domain Methods of Analysis and Design
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