Backstepping Based Hybrid Adaptive Control of Robot Manipulators Driven by Induction Motors

碩士 === 國立交通大學 === 電機與控制工程系 === 87 === In this thesis, we have made plainly delineation for the proposed nonlinear voltage input controller for robot manipulators driven by induction motors in the existent literature. And follow the same design procedure, simulated and experimen...

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Bibliographic Details
Main Authors: Chao-Min Wang, 王超民
Other Authors: Shir-Kuan Lin
Format: Others
Language:zh-TW
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/17898845881755446849
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Summary:碩士 === 國立交通大學 === 電機與控制工程系 === 87 === In this thesis, we have made plainly delineation for the proposed nonlinear voltage input controller for robot manipulators driven by induction motors in the existent literature. And follow the same design procedure, simulated and experimental result is then presented to illustrate the position tracking performance for the proposed controller and system stability. Specially, we make complete representation for how to setup the experimental hardware. Owing to the nonlinear controller is designed under the assumption that exact model knowledge is known, say, without considering the effect of system model parametric uncertainties. Then, we focused on the mechanical subsystem parametric uncertainties and proposed novel rotor flux and stator current observer to derive the adaptive, partial-state feedback, position tracking controller to compensate the degraded performance caused by without considering the system model parametric uncertainties. Through the use of systematic design approach backstepping and nonlinear damping to guarantee boundedness of trajectories even when no upper bound on the uncertainties is known. Under the mechanical subsystem parametric uncertainties, the proposed voltage input controller only requires measurements of link position and stator winding currents. Finally, we conclude a theorem to insure the controller stability and simulation results are presented to illustrate the link position tracking error, and rotor flux and stator current estimated error are asymptotically stable.