The objective of this lab is to implement a PD controller for a 2DOF system with an oscillatory mode. Students will gain a better understanding of the limitations of PD/PID control for higher order systems. Students will design, simulate, and implement a non-collocated controller with multiple feedback loops to acquire an acceptable response for the system. The controller will be designed and implemented in LabVIEW using the Simulation Module and Control Design Toolkit.

Choosing the right hardware and software is very important when setting up or upgrading an automatic controls lab. National Instruments LabVIEW can be used with a variety of hardware options for creating a real-time control system. Three control system hardware options are outlined for controlling plants, such as the ECP mechanical plants.

This module provides the introduction, hardware, and software needs for introducing fundamental control systems theory with emphasis on design and implementation. These labs focus on technical implementation issues of classical control theory in the frequency domain and modern control theory in the state-space. Design and implementation for this course is done using National Instruments LabVIEW software and hardware for control and Educational Control Products (ECP) hardware for the plants.

This course introduces students to fundamental control systems theory with emphasis on design and implementation. These labs focus on technical implementation issues of classical control theory in the frequency domain and modern control theory in the state-space. Design and implementation for this course is done using National Instruments LabVIEW software and hardware for control and Educational Control Products (ECP) hardware for the plants.

This module provides an introduction to real-time control of the ECP Model 210 Rectilinear Plant using LabVIEW Real-Time. Students open and execute a simple control algorithm to become familiar with the software environment and lab hardware that will be used in future labs.

The objective of this lab is to understand the dynamics of an inverted pendulum with a translating base. Students will use feedback to control an unstable system. The controller will be designed and implemented in LabVIEW using the Simulation Module and Control Design Toolkit.

The objective of this lab is to use frequency domain techniques to design a phase-lead compensator for a rigid, rotational disk. The controller will be designed and implemented in LabVIEW using the Simulation Module and Control Design Toolkit.

The objective of this lab is to understand the individual effects of proportional, derivative, and integral action. Students will design and implement both PD and PID controllers for the 1DOF rigid-body system, the ECP Rectilinear Plant. The controller will be designed and implemented in LabVIEW using the Simulation Module and Control Design Toolkit.

The objective of this lab is to understand the dynamics of an inverted pendulum with a rotating base. Students will use state feedback to control on unstable system. The self-erecting control algorithm will be implemented in LabVIEW, such that once the pendulum control algorithm is finished, control switches to inverted pendulum algorithm. The controllers will be implemented in LabVIEW using the Simulation Module.

The objective of this lab is to design, simulate, and implement a state feedback compensator for a 2DOF mass-spring system. The controller will be designed and implemented in LabVIEW using the Simulation Module and Control Design Toolkit.

The objective of this lab is to review of the behavior of second-order systems. Students will use gain a better understanding of the importance system identification. Students will also develop a hands-on understanding of the concept of hardware gain and why it will play a crucial role in controller design. System Identification will be implemented in LabVIEW using the System Identification Toolkit.