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contributor authorAyadi, A.
contributor authorHajji, S.
contributor authorSmaoui, M.
contributor authorChaari, A.
contributor authorFarza, M.
date accessioned2017-05-09T01:26:55Z
date available2017-05-09T01:26:55Z
date issued2016
identifier issn0022-0434
identifier otherds_138_02_024503.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160646
description abstractThis paper deals with the estimation of the actuator temperature in an electropneumatic system. First, an appropriate nonlinear system that accounts for the actuator temperature dynamics is introduced. Then in order to overcome the difficulty of installing temperatures sensors in each chamber of the actuator, two nonlinear highgain observers are proposed to provide online estimate of these temperatures. The gain of both observers can be tuned by the choice of a scalar design parameter. However, the design parameter is constant for the first observer and its choice has to satisfy a compromise between an accurate estimation of the state estimation and a satisfactory sensitivity of the observer with respect to the unavoidable output noise measurements. This difficulty is overcome in the second observer since the scalar design parameter is time varying and is governed by a Riccatti differential equation. The involved adaptation process of the design parameter is mainly driven by the power of the output observation error norm computed on a moving horizon window. Simulation results are given to show the effectiveness of the proposed observers and in particular to compare the performance of both observers, namely, the accuracy of the respective estimates and their sensitivity with respect to noise measurements.
publisherThe American Society of Mechanical Engineers (ASME)
titleDynamic High Gain Observer to Estimate Pneumatic Actuator Temperatures
typeJournal Paper
journal volume138
journal issue2
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4032132
journal fristpage24503
journal lastpage24503
identifier eissn1528-9028
treeJournal of Dynamic Systems, Measurement, and Control:;2016:;volume( 138 ):;issue: 002
contenttypeFulltext


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