ECE Course Outline
Control System Design (3-3-4)
- ECE 2031 or ECE 20X2 [min C] and ECE 3084 or ECE 3085 or ECE 3550
- Catalog Description
- Design of control algorithms using state-space methods, microcontroller implementation of control algorithms, and laboratory projects emphasizing motion control applications.
- Franklin, Powell & Emami-Naeini, Feedback Control of Dynamic Systems (8th edition), Prentice Hall, 2019. ISBN 9780134685717(optional)
- Course Outcomes - Upon successful completion of this course, students should be able to:
- Apply the laws of physics to obtain mathematical models describing the dynamic behavior of several types of physical systems.
- Approximate the constant coefficients parameterizing the dynamic model of a given physical system by utilizing measured input-output data.
- 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.
- Perform controllability and observability analyses to guide the selection of suitable actuators and sensors for a given physical system.
- Design a digital control algorithm incorporating state estimation, state regulation and error integration to impose command following.
- Program a computer to simulate a digital control system, accounting for the influence of disturbances, noise, quantization, sampling and saturation
- Program a microcontroller to implement a digital control algorithm, using interrupt-based timing and on-chip peripherals for interfacing.
- Develop microcontroller code for motion control systems incorporating various types of electric motors and associated switched-mode drive circuits.
- Evaluate the performance of motion control system implementations by analyzing and interpreting experimental data obtained from measurement.
- Prepare documentation describing control system designs and associated laboratory measurements, conforming to appropriate technical standards.
- 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
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