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T-Space at The University of Toronto Libraries >
School of Graduate Studies - Theses >
Master >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/32922

Title: Controller Design of Multivariable LTI Unknown Systems
Authors: Wang, William Szu-Wei
Advisor: Davison, Edward J.
Department: Electrical and Computer Engineering
Keywords: LTI unknown systems
multivariable controllers
parameter optimization
saturation constraint
servocompensator
tuning controllers
optimal control
PID control
large scale systems
Issue Date: 4-Sep-2012
Abstract: This thesis deals with the design of multivariable controllers for stable linear time-invariant multi-input multi-output systems, with an unknown mathematical model, subject to constant reference/disturbance signals and actuator saturation constraints. A new controller parameter optimization approach, which can be carried out experimentally with no knowledge of the plant model nor of the order of the system, is proposed. The approach has the advantage that controllers can be optimized by perturbing only the initial conditions of the servocompensator, and that the order of the resulting controller obtained can be specified by the designer. Implementation of the proposed controller design approach is described, and an experimental application study of the proposed method applied to a multivariable system with industrial sensor/actuator components is presented to illustrate the feasibility of the design method in an industrial environment.
URI: http://hdl.handle.net/1807/32922
Appears in Collections:Master

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