ENME

ENME 461 – Control Systems Laboratory

3 Credits

Textbook 

Hristu-Varsekalis, D, and Levine, W.S. (eds.), “Handbook of networked and embedded control systems,” Birkhauser, 2006  (recommended)

Prerequisites 

ENME 351
ENME 361

Description 

The course consists of two parts.  The first part is a conventional undergraduate laboratory course in which the students perform a series of five experiments in controls.  The experiments are progressively more difficult.  Each experiment ends with a written report.

In the second part of the course the students do a control project.  The projects are done by teams of two.  The students must submit a pre-proposal, a proposal, and a final report as part of their project. 

Laboratory experiments are aimed at elucidating the principles governing feedback control systems and providing familiarity with the characteristics and limitations of real control devices. Students will design, build and test digital servomechanisms, and will conduct analog and hybrid computer simulations of computer-controlled and distributed systems.

Matlab and Simulink will be used to design, test and implement control algorithms for a variety of experiments, including control of a system with significant delay, a mechanical positioning system, and other simple control systems.

Students will be expected to work in small teams and complete a final project in which they design and implement a digital networked control system.

Grading will be based on weekly laboratory assignments, midterm exam and final project.

 

Goals 

  • Understand the design and implementation of control systems for single-input single-output linear time-invariant systems.
  • Understand and be able to use the laboratory techniques, tools, and practices of control engineering.
  • Be able to report the results of their work in the laboratory accurately, in appropriate detail, and concisely.
  • Be able to specify components, implement a control systems, test and debug it,  and appropriately report the results of a control design project.

Topics 

  • PID Control
  • Lead/Lag controller design
  • Modeling and identification of linear time-invariant systems
  • Implementation of control systems in a computer
  • Saturation and other nonlinearities in control systems.
  • Techniques for understanding the effects of nonlinearity and compensating for it.
  • The linear quadratic optimal regulator.
  • Switching controllers.

Class/Laboratory Schedule 

  • Two 50 minute lectures and one 180 minute lab per week

Last Updated By 
Jessica Stein, June 2017