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Design and Fabrication of Experiments for Automated System Identification Conrad Farnsworth (SDSM&T) Advisors: Dr. Charles Tolle, Dr. Alfred Boysen, Dr. Thomas Montoya SDSM&T Electrical and Computer Engineering Department Acknowledgements: This work was sponsored in part by the National Science Foundation REU Site: Bringing Us Together, Improving Communications and Lives grant EEC- 1359476, the Office of Naval Research grant N00014-12-1- 0347, and by the SDSGC under a summer research stipend. Controller System + - Feedback Set An accurate system identification (SYSID ) is crucial to understanding and controlling systems. Unfortunately, to understand the dynamics of a plant, one must take the system to its limits. Pioneering non-linear, time varying automated system identification requires simple systems to be created that can be altered and extended to their limits without permanently damaging or altering the dynamics of their behavior. To meet this requirement, a second generation coaxial rotational pendulum is being be designed and built. After construction, data will be collected to verify that the system is ready for research. Abstract Evaluation Parameters Tolerance Analysis Solidworks Clearance Verification Manual Tolerance Analysis Mechanical Analysis Solidworks Stress analysis Verify Velocity Consistency Electrical Analysis Slip Ring Noise Objectives Design and fabricate multiple experimentation platforms capable of testing the implementation of time varying automated system identification algorithms. Future Work Magnetic levitation Actual pendulum on cart Double pendulum Upgradeable Modular Components, 80/20 tubular construction. Consistent High tolerance <.0002” precision on pendulum encoder shaft diameter, ABEC-7 rated bearings. Controllable High resolution encoders, 4:1 gear reduction, 168MHz ARM Cortex processor. Even though a pendulum has not been completed yet, a full system has been made and is ready. Several roadblocks still remain for construction in the form of machine certification, fabrication of the system will proceed as time permits. Conclusion Production of a time-varying system with well understood dynamics. Expected Results Unidentified System Sine wave Repeat at various frequencies Bode Plot State Space Equations Engineering Requirements A Linear System Identification Process Engineering Requirements (Approximation) Laplace Decomposition Transfer Functions

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Page 1: Design and Fabrication of Experiments for Automated System ...montoya.sdsmt.edu/reu/2014/Farnsworth_Final_Poster_2014.pdf · Design and Fabrication of Experiments for Automated System

Design and Fabrication of Experiments for Automated System

Identification

Conrad Farnsworth (SDSM&T)

Advisors: Dr. Charles Tolle, Dr. Alfred Boysen, Dr. Thomas Montoya

SDSM&T Electrical and Computer Engineering Department

Acknowledgements: This work was sponsored in part by the National Science Foundation REU Site: Bringing Us Together, Improving Communications and Lives grant EEC-1359476, the Office of Naval Research grant N00014-12-1-0347, and by the SDSGC under a summer research stipend.

Controller System + -

Feedback

Set

An accurate system identification (SYSID) is crucial to understanding and controlling

systems. Unfortunately, to understand the dynamics of a plant, one must take the system to its limits. Pioneering non-linear, time varying automated system identification requires simple

systems to be created that can be altered and extended to their limits without permanently

damaging or altering the dynamics of their behavior. To meet this requirement, a second

generation coaxial rotational pendulum is being be designed and built. After construction, data

will be collected to verify that the system is ready for research.

Abstract

Evaluation Parameters

Tolerance Analysis

• Solidworks Clearance Verification

• Manual Tolerance Analysis

Mechanical Analysis

• Solidworks Stress analysis

• Verify Velocity Consistency

Electrical Analysis

• Slip Ring Noise

Objectives

Design and fabricate multiple experimentation platforms capable of testing the implementation of time varying automated system identification algorithms.

Future Work

• Magnetic levitation • Actual pendulum on cart • Double pendulum

Upgradeable Modular Components, 80/20 tubular construction.

Consistent

High tolerance <.0002” precision on pendulum

encoder shaft diameter, ABEC-7 rated bearings.

Controllable

High resolution encoders, 4:1 gear reduction, 168MHz ARM Cortex processor.

Even though a pendulum has not been completed yet, a full system has been made and is ready.

Several roadblocks still remain for construction in the form of machine certification, fabrication of

the system will proceed as time permits.

Conclusion

Production of a time-varying system with well understood dynamics.

Expected Results

Unidentified System

Sine wave

Repeat at various frequencies Bode Plot

State Space Equations

Engineering Requirements

A Linear System Identification Process

Engineering Requirements

(Approximation)

Laplace Decomposition

Transfer Functions