Description: Control Engineering is the engineering discipline that applies control theory to design systems. The practice uses sensors to measure the output performance of the device being controlled and those measurements can be used to give feedback to the input actuators that can make corrections toward desired performance.
Curriculum
- 1 Section
- 48 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Control Engineering48
- 2.1Lecture 1: The Control Problem
- 2.2Lecture 2: Some More Examples
- 2.3Lecture 3: Different kinds of Control Systems
- 2.4Lecture 4: History of Feedback
- 2.5Lecture 5: Modern Control Problems
- 2.6Lecture 6: DC Motor Speed Control
- 2.7Lecture 7: System Modelling, Analogy
- 2.8Lecture 8: Causes of System Error
- 2.9Lecture 9: Calculation of Error
- 2.10Lecture 9: Calculation of Error
- 2.11Lecture 10: Control System Sensitivity
- 2.12Lecture 11: Automic Control of DC Motor
- 2.13Lecture 12: Proportional Control
- 2.14Lecture 13: Non-Unity Feedback
- 2.15Lecture 14: Signal-Flow Graph
- 2.16Lecture 15: Masons Gain Formula
- 2.17Lecture 16: Signal-Flow Graph for DC Motor Control
- 2.18Lecture 17: Steady-State Calculations
- 2.19Lecture 18: Differential Equation Model & Laplace transformation Method
- 2.20Lecture 19: D-Operator Method
- 2.21Lecture 20: Second-Order System Response
- 2.22Lecture 21: Frequency Response
- 2.23Lecture 22: Laplace Transformation Theorems
- 2.24Lecture 23: Final-Value Theorem
- 2.25Lecture 24: Transfer Function and Pole-Zero Diagram
- 2.26Lecture 25: Good Poles and Bad Poles
- 2.27Lecture 26: Signal-Flow Graph with Transfer Functions
- 2.28Lecture 27: s-Domain and t-Domain
- 2.29Lecture 28: Second-Order System Response in s-Domain
- 2.30Lecture 29: Integral Feedback
- 2.31Lecture 30: Root-Locus Method
- 2.32Lecture 31: Root-Locus Rules
- 2.33Lecture 32: Asymptotes of Root Locus
- 2.34Lecture 33: Routh Array
- 2.35Lecture 34: Singular Cases
- 2.36Lecture 35: Closed-Loop Poles
- 2.37Lecture 36: Controller in the Forwarded Path
- 2.38Lecture 37: Mapping of Control in the Complex-Plane
- 2.39Lecture 38: Encirclement by a Curve
- 2.40Lecture 39: Nyquist Criterion
- 2.41Lecture 40: Application of the Nyquist Criterion
- 2.42Lecture 41: Polar Plot and Bode Plots
- 2.43Lecture 42: Logarithmic Scale for Frequency
- 2.44Lecture 43: Asymptotic DB Gain
- 2.45Lecture 44: Compensating Network
- 2.46Lecture 45: Nichols Chart
- 2.47Lecture 46: Time Domain Methods of Analysis and Design
- 2.48Lecture 47: State-Variable Equations
