Innovative inverse control techniques for adaptive tracking of nonlinear dynamic plants

Tahir Khan, Muhammad Shafiq

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Adaptive tracking of nonlinear dynamic plants is presently an active area of research. The main difficulty felt in establishing the tracking of nonlinear dynamic plants is the computational complexity in controller design. This paper presents novel adaptive tracking techniques for a class of nonlinear dynamic plants based on a control oriented model known as U-model. The use of U-model reduces the computational complexity of the controller design that occurs when using other modelling frame works such as NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) model. Four different adaptive control techniques based on U-model are discussed namely adaptive inverse control (AIC), adaptive internal model control (AIMC), AIC with pole-placement and AIMC with pole-placement. The proposed techniques are implemented in real-time on a laboratory scale experimental setup for speed control of DC-motor. The results of the experiments are provided.

Original languageEnglish
Title of host publicationIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
Publication statusPublished - 2006
EventIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 - Islamabad, Pakistan
Duration: Apr 22 2006Apr 23 2006

Other

OtherIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
CountryPakistan
CityIslamabad
Period4/22/064/23/06

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Khan, T., & Shafiq, M. (2006). Innovative inverse control techniques for adaptive tracking of nonlinear dynamic plants. In IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 [1703149]