• About
  • Policies
  • What is openaccess
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      On the discrete adaptive posicast controller

      Thumbnail
      View/Open
      Full printable version (472.1Kb)
      Author
      Abidi, K.
      Yildiz, Y.
      Date
      2015
      Journal Title
      IFAC Proceedings Volumes (IFAC-PapersOnline)
      ISSN
      14746670
      Publisher
      IFAC Secretariat
      Volume
      48
      Issue
      12
      Pages
      422 - 427
      Language
      English
      Type
      Conference Paper
      Metadata
      Show full item record
      Please cite this item using this persistent URL
      http://hdl.handle.net/11693/27896
      Abstract
      In this paper, we present the discrete version of the Adaptive Posicast Controller (APC) that deals with parametric uncertainties in systems with input time-delays. The continuous-time APC is based on the Smith Predictor and Finite Spectrum Assignment with time-varying parameters adjusted online. Although the continuous-time APC showed dramatic performance improvements in experimental studies with internal combustion engines, the full benefits could not be realized since the finite integral term in the control law had to be approximated in computer implementation. It is shown in the literature that integral approximation in time-delay compensating controllers degrades the performance if care is not taken. In this work, we present a development of the APC in the discrete-time domain, eliminating the need for approximation. In essence, this paper attempts to present a unified development of the discrete-time APC for systems that are linear with known/unknown input time-delays. Performances of the continuous-time and discrete-time APC, as well as conventional Model Reference Adaptive Controller (MRAC) for linear systems with known time-delay are compared in simulation studies. It is shown that discrete-time APC outperforms its continuoustime counterpart and MRAC. Further simulations studies are also presented to show the performance of the design for systems with uncertain time-delay. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
      Published as
      http://dx.doi.org/10.1016/j.ifacol.2015.09.415
      Collections
      • Department of Electrical and Electronics Engineering 2973

      Related items

      Showing items related by title, author, creator and subject.

      • Thumbnail

        Robust adaptive posicast controller 

        Yildiz, Y.; Annaswamy, A. (IFAC Secretariat, 2015)
        Adaptive Posicast Controller that is robust to delay-mismatch is introduced in this paper. Inspired from a recent result on guaranteed delay margins in adaptive control, the original adaptive laws of the above mentioned ...
      • Thumbnail

        Adaptive control design for nonlinear systems via successive approximations 

        Babaei N.; Salamci M.U.; Karakurt A.H. (American Society of Mechanical Engineers, 2017)
        The paper presents an approach to the Model Reference Adaptive Control (MRAC) design for nonlinear dynamical systems. A nonlinear reference system is considered such that its response is designed to be stable via Successive ...
      • Thumbnail

        Gas generator pressure control in throttleable ducted rockets: A classical and adaptive control approach 

        Alan, A.; Yildiz, Y.; Poyraz, U.; Olgun, U. (American Institute of Aeronautics and Astronautics Inc, AIAA, 2015)
        This paper describes the control of gas generator pressure in throttleable ducted rockets using nonlinear adaptive control as well as classical control approaches. Simulation results using the full nonlinear and time-varying ...

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartments

      My Account

      Login

      Statistics

      View Usage Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the webmaster. Phone: (312) 290 1771
      Copyright © Bilkent University | Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin