Accession Number : ADA257746


Title :   Design of Robust Suboptimal Controllers for a Generalized Quadratic Criterion


Descriptive Note : Master's thesis


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA


Personal Author(s) : Miller, Kurtis B


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a257746.pdf


Report Date : Jun 1992


Pagination or Media Count : 66


Abstract : Standard linear quadratic regulator (LQR) designs guarantee a certain level of robustness. However, optimizing a generalized quadratic criterion produces coupled state and input terms and there are no longer any guarantees of good robustness properties. This thesis identifies how this problem arises and then presents several suboptimal, but robust controller design options which provide the control systems engineer with the ability to perform a trade-off between performance and robustness. The effectiveness of these methods is investigated and the trade-offs between performance and robustness are evaluated using computer simulation of a statically unstable fighter aircraft. Linear Quadratic Feedback Control System, Robust Control, Optimal Control, Suboptimal Control.


Descriptors :   *FIGHTER AIRCRAFT , *CONTROL SYSTEMS , *AERODYNAMIC STABILITY , INPUT , OPTIMIZATION , AIRCRAFT , REGULATORS , FEEDBACK , ENGINEERS , STANDARDS , GUARANTEES , THESES , COMPUTERS , COMMERCE , CONTROL , SIMULATION


Subject Categories : Attack and Fighter Aircraft
      Numerical Mathematics
      Fluid Mechanics


Distribution Statement : APPROVED FOR PUBLIC RELEASE