Brief paper: Redesign of adaptive observers for improved parameter identification in nonlinear systems

  • Authors:
  • Øyvind Nistad Stamnes;Ole Morten Aamo;Glenn-Ole Kaasa

  • Affiliations:
  • NTNU, Department of Engineering Cybernetics, NO-7491 Trondheim, Norway;NTNU, Department of Engineering Cybernetics, NO-7491 Trondheim, Norway;Statoil Research Centre, NO-3908 Porsgrunn, Norway

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2011

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Abstract

We propose a method for redesigning adaptive observers for nonlinear systems. The redesign uses an adaptive law that is based on delayed observers. This increases the computational burden, but gives significantly better parameter identification and robustness properties. In particular, given that a special persistency of excitation condition is satisfied, we prove uniform global asymptotic stability and semi-global exponential stability of the origin of the state and parameter estimation error, and give explicit lower bounds on the convergence rate of both the state and parameter estimation error dynamics. For initial conditions with a known upper bound, we prove tunable exponential convergence rate. To illustrate the use of the proposed method, we apply it to estimate the unmeasured flow rate and the uncertain friction parameters in a model of a managed pressure drilling system. The simulation results clearly show the improved performance of the redesigned adaptive observer compared to a traditional design.