Extended State Observer Based Stator Flux Linkage Estimation of Nonlinear Synchronous Machines
Seunghun Jang, Bernd Pfeifer, Christoph M. Hackl, Kyunghwan Choi*
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  • International Symposium on Industrial Electronics (ISIE), 2024 published [Online]
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    • Abstract
    • Synchronous machines (SMs) represent nonlinear dynamical systems with stator flux linkages being crucial for controller design. Among the developed methods for flux linkage estimation, the disturbance observer-based flux linkage estimator (DOB-FLE) is recognized as the state-of-the-art. However, DOB-FLE faces challenges in ensuring exponential convergence during transient conditions. To address this, this paper introduces an extended state observer-based flux linkage estimator (ESO-FLE), which represents an advancement over DOB-FLE. This novel approach utilizes extended states to model the nonlinear disturbance term as time-varying ramp signals, offering a degree of freedom compared to the constant assumption imposed for DOB-FLE and allowing for the estimation of both the extended states and the flux linkages through an ESO. Simulation results from a 35-kW SM drive demonstrate that ESO-FLE achieves exponential performance under transient conditions compared to DOB-FLE.