Catalog Description:

• EOC 4620: Dynamic Systems.
  Introduction to classical and modern control theory, system identification, and modeling; system stability analysis; practical control implementation issues for sampled-data ocean systems.

Pre-requisites:

• EOC 3114 (Vibrations).

Textbook:

• Control Engineering, 2nd ed., by W. Bolton, Longman

Other References:

• Lecture Notes (attendance required).
• System Dynamics, 3rd ed., by K. Ogata, Prentice Hall.

Coordinator:

• Dr. Alexander Leonessa, Department of Ocean Engineering.

Goals/Objectives:

• Students should be able to perform basic systems analysis using Laplace transforms and transfer functions; characterize system behavior using poles-zeros or eigenvalue concepts in term of stability issues; carry out basic controller design using standard root-locus or PID techniques; and analyze closed-loop controlled systems.

Course Topics:

1. Introduction to System Dynamics and Control Systems.
2. Review of Laplace Transform.
3. Review of Mathematical Modeling of Dynamic Systems.
4. Linear Systems Analysis in the Time Domain.
5. Linear Systems Analysis in the Frequency Domain.
6. Analysis and Design of Control Systems in the Time Domain.
7. Analysis and Design of Control Systems in the Frequency Domain.
8. Mathematical Modeling of Dynamic Systems in State Space (additional).
9. Discrete-Time Systems (additional).

Computer Projects:

• Most of the homeworks will require the use of Matlab.

Laboratory Projects:

• One laboratory project is under consideration.

Grading Policy:

1. Homework problems -- 10%
2. Test 1 -- 15%
3. Test 2 -- 15%
4. Term paper/project -- 20%
5. Final -- 30%
6. Class participation and student portfolios -- 10%

Course Outcomes:

1. An ability to use Laplace transforms to solve linear differential equations.
2. A basic knowledge of the fundamental principles governing mechanical, thermal and electrical system dynamics.
3. An ability to apply the knowledge of mathematics and engineering to model dynamic systems.
4. An ability to simulate system dynamics using computer simulation tools.
5. An ability to study and characterize the stability properties of a dynamic system.
6. An ability to design a feedback control system to meet desired system output specifications.