|Day 1 of 2|
|Control System Design Overview|
Objective: Provide an overview of the control system design process and introduce how MATLAB and Simulink fit into that process. The details of each step in the design process are covered in later chapters.
Objective: Discuss the various formats used for representing system models. Also highlights the pros and cons of each format.
Objective: Illustrate how to estimate system models based on measured data.
Objective: Use measured data to estimate the values of a Simulink model's parameters.
Objective: Outline the different analysis tools and functions available for understanding system behavior - such as system resonances, transient response, etc.
|Day 2 of 2|
Objective: Discuss techniques for linearizing a Simulink model and validating the linearization results.
|PID Control in Simulink|
Objective: Use Simulink to model and tune PID controllers.
Objective: Use classical control design techniques to develop system controllers. Common control techniques are covered, such as PID and Lead/Lag controllers.
Objective: Discuss steps that might be needed to effectively implement a controller on a real system.