An Alternative State Estimation Filtering Algorithm for Temporarily Uncertain Continuous Time System
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초록
An alternative state estimation filtering algorithm is designed for continuous time systems with noises as wellas control input. Two kinds of estimation filters, which have different measurement memory structures, areoperated selectively in order to use both filters effectively as needed. Firstly, the estimation filter with infinitememory structure is operated for a certain continuous time system. Secondly, the estimation filter with finitememory structure is operated for temporarily uncertain continuous time system. That is, depending on thepresence of uncertainty, one of infinite memory structure and finite memory structure filtered estimates isoperated selectively to obtain the valid estimate. A couple of test variables and declaration rule are developedto detect uncertainty presence or uncertainty absence, to operate the suitable one from two kinds of filteredestimates, and to obtain ultimately the valid filtered estimate. Through computer simulations for a continuoustime aircraft engine system with different measurement memory lengths and temporary model uncertainties,the proposed state estimation filtering algorithm can work well in temporarily uncertain as well as certaincontinuous time systems. Moreover, the proposed state estimation filtering algorithm shows remarkablesuperiority to the infinite memory structure filtering when temporary uncertainties occur in succession.
Abstract
An alternative state estimation filtering algorithm is designed for continuous time systems with noises as wellas control input. Two kinds of estimation filters, which have different measurement memory structures, areoperated selectively in order to use both filters effectively as needed. Firstly, the estimation filter with infinitememory structure is operated for a certain continuous time system. Secondly, the estimation filter with finitememory structure is operated for temporarily uncertain continuous time system. That is, depending on thepresence of uncertainty, one of infinite memory structure and finite memory structure filtered estimates isoperated selectively to obtain the valid estimate. A couple of test variables and declaration rule are developedto detect uncertainty presence or uncertainty absence, to operate the suitable one from two kinds of filteredestimates, and to obtain ultimately the valid filtered estimate. Through computer simulations for a continuoustime aircraft engine system with different measurement memory lengths and temporary model uncertainties,the proposed state estimation filtering algorithm can work well in temporarily uncertain as well as certaincontinuous time systems. Moreover, the proposed state estimation filtering algorithm shows remarkablesuperiority to the infinite memory structure filtering when temporary uncertainties occur in succession.
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