Control System Design


CMPE Degree: This course is Elective for the CMPE degree.

EE Degree: This course is Selected Elective for the EE degree.

Lab Hours: 3 supervised lab hours and 0 unsupervised lab hours.

Technical Interest Group(s) / Course Type(s): Systems and Controls

Course Coordinator: David G Taylor

Prerequisites: ECE 2031 or ECE 20X2 [min C] and ECE 3084 or ECE 3085 or ECE 3550

Corequisites: None.

Catalog Description

Design of control algorithms using state-space methods, microcontroller implementation of control algorithms, and laboratory projects emphasizing motion control applications.

Course Outcomes

  1. Apply the laws of physics to obtain mathematical models describing the dynamic behavior of several types of physical systems.
  2. Approximate the constant coefficients parameterizing the dynamic model of a given physical system by utilizing measured input-output data.
  3. Develop a state-space model for a given physical system, and use it to analyze the system’s response and to characterize the system’s stability.
  4. Perform controllability and observability analyses to guide the selection of suitable actuators and sensors for a given physical system.
  5. Design a digital control algorithm incorporating state estimation, state regulation and error integration to impose command following.
  6. Program a computer to simulate a digital control system, accounting for the influence of disturbances, noise, quantization, sampling and saturation
  7. Program a microcontroller to implement a digital control algorithm, using interrupt-based timing and on-chip peripherals for interfacing.
  8. Develop microcontroller code for motion control systems incorporating various types of electric motors and associated switched-mode drive circuits.
  9. Evaluate the performance of motion control system implementations by analyzing and interpreting experimental data obtained from measurement.
  10. Prepare documentation describing control system designs and associated laboratory measurements, conforming to appropriate technical standards.

Student Outcomes

In the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.

1. ( P ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

2. ( M ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

3. ( LN ) An ability to communicate effectively with a range of audiences

4. ( LN ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

5. ( LN ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

6. ( P ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

7. ( M ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Strategic Performance Indicators (SPIs)

Not Applicable

Course Objectives

Topical Outline

State-Space Methods for Analysis and Design
System Models, Responses, and Stability
Numerical Simulation Techniques
Objectives and Specifications in Control Applications
State Feedback, Controllability, Actuator Selection
State Estimation, Observability, Sensor Selection
Integral Control, Command Following, Disturbance Rejection
Controller Discretization, Indirect Design
Plant Discretization, Direct Design
Parameter Identification Methods
Time-Scale Separation, Reduced-Order Design Models
Optimization-Based Design and Stability Robustness
Microcontrollers and Control Applications
Computer Representation of Numbers
Interrupt-Based Program Flow
Clocks and Timers
General Purpose Inputs and Outputs
Communications, Chip-to-Chip, System-to-System
Analog-to-Digital Converters
Pulse-Width Modulators
Quadrature Encoders
DC Motors, AC Motors, Drive Circuits
Electromechanical Motion Systems
Switched-Mode Power Converters