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525.409 - Continuous Control Systems Course Homepage

Instructor Information

Neil Palumbo

Email: neil.palumbo@jhuapl.edu
Work Phone: (443) 778-7693
Home Phone: (410) 489-6703

NEIL F. PALUMBO is a member of the JHU/APL Principal Professional Staff, and is currently the Group Supervisor of the Guidance, Navigation and Control Group within the Air and Missile Defense Department.  He joined APL in 1993 after having received a Ph.D. in electrical engineering from Temple University.  His interests include control and estimation theory, fault-tolerant restructurable control systems, homing missile guidance and control, and neuro-fuzzy inference systems.

Course Information

Course Description

This course examines classical methods of analysis and design of continuous control systems. Topics include system representation by linear time invariant ordinary differential equations, performance measures, sensitivity, stability, root locus, frequency domain techniques, and design methods. Several practical examples are considered. Matlab is used as a computational tool.

Prerequisites

Matrix theory and linear differential equations.

Course Goal

The overall goal of this course is to develop the fundamentals associated with the analysis, design and simulation of continuous-time (automatic) control systems using time-domain and frequency domain control system design techniques.  Upon completion of this course, the student should have learned about the analysis and design of feedback controllers for linear single-input-single output dynamic systems.

Course Objectives

  • Understand the viability of feedback control for disturbance rejection and stabilization.

  • Understand the foundations for control system design using Root Locus techniques.
  • Understand the foundations for control system design using Bode and Nyquist techniques.
  • Introduce state space / state feedback design and state estimation via Luenberger observers.

When This Course is Typically Offered

This course is taught during the Fall semester at the APL main campus.

Syllabus

Topics Covered

  • Mathematical foundations: Laplace Transforms
  • Transfer functions, block diagrams, signal flow graphs, Mason's Gain Formula
  • State equations, Direct Decomposition, Eigenvalues and Eigenvectors
  • Stability concepts, Routh-Hurwitz Criterion, Time Domain Analysis, Steady State Error Analysis
  • Root Locus Analysis
  • Phase Lead and Phase Lag Controller Design via Root Locus Techniques
  • Frequency Domain Analysis: Bode Plots, Gain and Phase Margin, Polar Plots
  • Nyquist Criterion
  • Phase Lead and Phase Lag Controller Design via Frequency Domain Techniques
  • PD, PI and PID Controllers
  • Controllability, Observability and Pole Placement via State Feedback
  • Luenberger Observers

Student Assessment Criteria

Homework Assignments 20%
Midterm Exam 40%
Final Exam 40%

Computer and Technical Requirements

Basic knowledge of Matlab is suggested.

Textbooks

Textbook information for this course is available online through the MBS Direct Virtual Bookstore.

Course Notes

There are notes for this course.

(Last Modified: 08-11-2008 at 8:43:22 AM)