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Hybrid intelligent machine systems : design, modeling and control

dc.contributor.advisorZhang, W. J. (Chris)en_US
dc.contributor.committeeMemberSumner, Daviden_US
dc.contributor.committeeMemberSaadat Mehr, Aryanen_US
dc.contributor.committeeMemberNikravesh, Masouden_US
dc.contributor.committeeMemberGupta, Madan M.en_US
dc.contributor.committeeMemberDegenstein, Douglas A.en_US
dc.contributor.committeeMemberChen, X. B. (Daniel)en_US
dc.contributor.committeeMemberBurton, Richard T.en_US
dc.creatorOuyang, Purenen_US
dc.date.accessioned2005-08-31T14:42:58Zen_US
dc.date.accessioned2013-01-04T04:55:55Z
dc.date.available2005-09-02T08:00:00Zen_US
dc.date.available2013-01-04T04:55:55Z
dc.date.created2005-08en_US
dc.date.issued2005-08-25en_US
dc.date.submittedAugust 2005en_US
dc.description.abstractTo further improve performances of machine systems, mechatronics offers some opportunities. Traditionally, mechatronics deals with how to integrate mechanics and electronics without a systematic approach. This thesis generalizes the concept of mechatronics into a new concept called hybrid intelligent machine system. A hybrid intelligent machine system is a system where two or more elements combine to play at least one of the roles such as sensor, actuator, or control mechanism, and contribute to the system behaviour. The common feature with the hybrid intelligent machine system is thus the presence of two or more entities responsible for the system behaviour with each having its different strength complementary to the others. The hybrid intelligent machine system is further viewed from the system’s structure, behaviour, function, and principle, which has led to the distinction of (1) the hybrid actuation system, (2) the hybrid motion system (mechanism), and (3) the hybrid control system. This thesis describes a comprehensive study on three hybrid intelligent machine systems. In the case of the hybrid actuation system, the study has developed a control method for the “true” hybrid actuation configuration in which the constant velocity motor is not “mimicked” by the servomotor which is treated in literature. In the case of the hybrid motion system, the study has resulted in a novel mechanism structure based on the compliant mechanism which allows the micro- and macro-motions to be integrated within a common framework. It should be noted that the existing designs in literature all take a serial structure for micro- and macro-motions. In the case of hybrid control system, a novel family of control laws is developed, which is primarily based on the iterative learning of the previous driving torque (as a feedforward part) and various feedback control laws. This new family of control laws is rooted in the computer-torque-control (CTC) law with an off-line learned torque in replacement of an analytically formulated torque in the forward part of the CTC law. This thesis also presents the verification of these novel developments by both simulation and experiments. Simulation studies are presented for the hybrid actuation system and the hybrid motion system while experimental studies are carried out for the hybrid control system.en_US
dc.identifier.urihttp://hdl.handle.net/10388/etd-08312005-144258en_US
dc.language.isoen_USen_US
dc.subjectmodelingen_US
dc.subjectcontrolen_US
dc.subjectexperimenten_US
dc.subjectdesignen_US
dc.subjecthybrid control systemen_US
dc.subjecthybrid motion systemen_US
dc.subjecthybrid actuation systemen_US
dc.subjectIntelligent machine systemen_US
dc.subjectHybrid systemen_US
dc.titleHybrid intelligent machine systems : design, modeling and controlen_US
dc.type.genreThesisen_US
dc.type.materialtexten_US
thesis.degree.departmentMechanical Engineeringen_US
thesis.degree.disciplineMechanical Engineeringen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophy (Ph.D.)en_US

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