A Parameter Estimation Approach to State Observation of Nonlinear Systems

TL;DR

This paper introduces a new parameter estimation method for partial state observation of nonlinear systems, transforming the problem into estimating unknown initial condition-related parameters under specific system transformability and excitation conditions.

Contribution

It presents a novel approach that converts nonlinear state estimation into parameter estimation, applicable to electromechanical systems, power converters, and mechanical systems.

Findings

Applicable to position estimation in electromechanical systems

Effective for state reconstruction of power converters

Enables speed observation in certain mechanical systems

Abstract

A novel approach to the problem of partial state estimation of nonlinear systems is proposed. The main idea is to translate the state estimation problem into one of estimation of constant, unknown parameters related to the systems initial conditions. The class of systems for which the method is applicable is identified via two assumptions related to the transformability of the system into a suitable cascaded form and our ability to estimate the unknown parameters. The first condition involves the solvability of a partial differential equation while the second one requires some persistency of excitation--like conditions. The proposed observer is shown to be applicable to position estimation of a class of electromechanical systems, for the reconstruction of the state of power converters and for speed observation of a class of mechanical systems.