Control Systems Analysis: Modeling of Dynamic Systems

Instructor: Dr. Lucy Pao

What you'll learn

  •   Derive differential equations and transfer functions for simple mechanical, electrical, and electromechanical systems.
  •   Analyze the dynamic response of 1st and 2nd order systems.
  •   Explain the relationship between pole locations of 2nd-order systems and common step response performance specifications.
  •   Characterize Bounded-Input Bounded-Output (BIBO) stability and determine the number of unstable roots using Routh’s stability criterion.
  • Skills you'll gain

  •   Control Systems
  •   Mechanics
  •   Differential Equations
  •   Electrical Systems
  •   Applied Mathematics
  •   Engineering Analysis
  •   Mathematical Modeling
  •   Engineering Calculations
  •   Basic Electrical Systems
  •   Systems Analysis
  • There are 5 modules in this course

    In this course, you'll explore modeling of dynamic systems and feedback control. The course begins with an introduction of control theory and the application of Laplace transforms in solving differential equations, providing a strong foundation in linearity, time-invariance, and dynamic system modeling. The following week will delve into the laws governing the modeling of dynamic systems, with a focus on deriving differential equations from fundamental principles like Newton's laws and Kirchhoff's laws, as well as mastering the representation of systems as transfer functions in the Laplace domain. The third week delves deeper into Laplace transforms, emphasizing initial/final value theorems, block diagram manipulation, and dynamic response analysis. Moving into the fourth week, you'll learn to analyze system performance using transient step response specifications, enabling you to assess and optimize system behavior effectively. Finally, in the fifth week, you'll explore Bounded-Input Bounded-Output (BIBO) stability and Routh's stability criterion, gaining the skills to assess, analyze, and design stable systems. By the course's end, you'll be well-equipped to navigate the intricacies of control systems and dynamic modeling.

    Modeling of Physical Systems

    Block Diagram Analysis and Dynamic Response

    Transient Step Response Specifications

    Modeling From Transient Response Data and Stability

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