Development and feasibility of economical hardware and software in control theory application

dc.contributor.authorBlack, Derek J.
dc.date.accessioned2017-11-01T15:14:12Z
dc.date.available2017-11-01T15:14:12Z
dc.date.graduationmonthDecember
dc.date.issued2017-12-01
dc.description.abstractControl theory is the study of feedback systems, and a methodology investigated by many engineering students throughout most universities. Because of control theory's broad and interdisciplinary nature, it necessitates further study by application through experimental learning and laboratory practice. Typically, the hardware used to connect the theoretical aspects of controls to the practical can be expensive, big, and time consuming to the students and instructors teaching on the equipment. Alternatively, using cheaper sensors and hardware, such as encoders and motor drivers, can obfuscate the collected data in a way that creates a disconnect between developed theoretical models and actual system results. This disconnect can dissuade the idea that systems can and will follow a modeled behavior. This thesis attempts to assess the feasibility of a piece of laboratory apparatus named the NERMLAB. Multiple experiments will be conducted on the NERMLAB system and compared against time-tested hardware to demonstrate the practicality of the NERMLAB system in control theory application.
dc.description.advisorDale E. Schinstock
dc.description.degreeMaster of Science
dc.description.departmentDepartment of Mechanical and Nuclear Engineering
dc.description.levelMasters
dc.identifier.urihttp://hdl.handle.net/2097/38170
dc.language.isoen_US
dc.publisherKansas State University
dc.rights© the author. This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectControl Theory
dc.subjectSoftware
dc.subjectHigher Education
dc.subjectMotor control
dc.subjectSystem Identification
dc.subjectMathematical modeling
dc.titleDevelopment and feasibility of economical hardware and software in control theory application
dc.typeThesis

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