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Control of Inductor Motors is a difficult task because of the motors' non-linear nature. Hence, the Inductor Motors are usually expressed by complicated non-linear models. This paper presents a new and effective method for modeling stator current and estimating rotor flux of an induction motor by applying Direct-Decoupling Methodology. A nonlinear control approach with full state feedback linearization...
In this paper, a design scheme of an adaptive controller-observer is proposed for trajectory tracking control of robot manipulators with parameter uncertainties and with position measurements only. The controller and observer are designed in an integrated framework. A new observer and parameter adaptation law are applied to guarantee the tracking errors and observer errors converge simultaneously...
Design of a stable adaptive controller and observer for a class of nonlinear systems is considered. The nonlinear systems contain the product of an unmeasurable state and an unknown parameter. The nonlinear system is transformed into a suitable form. Under the form, a stable adaptive controller and a stable nonlinear observer can be design. We present a method of adaptive controller and observer design...
This paper shows a new expression of IPMSMs, which can be regarded as a linear system, and proposes a novel design of the adaptive flux observer based on a linear model of IPMSMs on stator frame. According to this linear model, IPMSMs can be regarded a SPMSMs theoretically, yielding possibility to apply some techniques related to the adaptive flux observer of SPMSM for IPMSM drives without any approximation...
An nonlinear adaptive observer based on filters is designed for parametric output feedback systems, and based on this observer using observer backstepping method to design an adaptive controller. Tuning function method is used to avoid over-parametrization. Nonlinear damping is used to counteract the destabilizing effect of the observation errors. This scheme is different from the K-filter scheme...
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