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Order Reduction Rules Based on Statistical Techniques for Inverse Response Processes

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Castellanos D.
Castrillon F.
Camacho O.
Gutierrez S.
Posada N.L.

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TY - GEN T1 - Order Reduction Rules Based on Statistical Techniques for Inverse Response Processes AU - Castellanos D. AU - Castrillon F. AU - Camacho O. AU - Gutierrez S. AU - Posada N.L. UR - http://hdl.handle.net/11407/5990 PB - Colorado L.A.M. AB - In this work, we present a set of rules that transforms the model of Inverse Response Second Order Plus Dead Time Process (IRSODT) and reduces it to a First Order Plus Dead Time (FOPDT) model. We describe the design process for the proposed rules, where we use Dimensional Analysis Techniques and Design of Experiments (DOE). We analyze and compare our rules with those proposed by Taylor, and those proposed by Skogestad. Finally, we use our rules to tune a Sliding Mode Control (SMC) that uses a FOPDT model and we presented some performance indexes. © 2020 IEEE. ER - @misc{11407_5990, author = {Castellanos D. and Castrillon F. and Camacho O. and Gutierrez S. and Posada N.L.}, title = {Order Reduction Rules Based on Statistical Techniques for Inverse Response Processes}, year = {}, abstract = {In this work, we present a set of rules that transforms the model of Inverse Response Second Order Plus Dead Time Process (IRSODT) and reduces it to a First Order Plus Dead Time (FOPDT) model. We describe the design process for the proposed rules, where we use Dimensional Analysis Techniques and Design of Experiments (DOE). We analyze and compare our rules with those proposed by Taylor, and those proposed by Skogestad. Finally, we use our rules to tune a Sliding Mode Control (SMC) that uses a FOPDT model and we presented some performance indexes. © 2020 IEEE.}, url = {http://hdl.handle.net/11407/5990} }RT Generic T1 Order Reduction Rules Based on Statistical Techniques for Inverse Response Processes A1 Castellanos D. A1 Castrillon F. A1 Camacho O. A1 Gutierrez S. A1 Posada N.L. LK http://hdl.handle.net/11407/5990 PB Colorado L.A.M. AB In this work, we present a set of rules that transforms the model of Inverse Response Second Order Plus Dead Time Process (IRSODT) and reduces it to a First Order Plus Dead Time (FOPDT) model. We describe the design process for the proposed rules, where we use Dimensional Analysis Techniques and Design of Experiments (DOE). We analyze and compare our rules with those proposed by Taylor, and those proposed by Skogestad. Finally, we use our rules to tune a Sliding Mode Control (SMC) that uses a FOPDT model and we presented some performance indexes. © 2020 IEEE. OL Spanish (121)
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Abstract
In this work, we present a set of rules that transforms the model of Inverse Response Second Order Plus Dead Time Process (IRSODT) and reduces it to a First Order Plus Dead Time (FOPDT) model. We describe the design process for the proposed rules, where we use Dimensional Analysis Techniques and Design of Experiments (DOE). We analyze and compare our rules with those proposed by Taylor, and those proposed by Skogestad. Finally, we use our rules to tune a Sliding Mode Control (SMC) that uses a FOPDT model and we presented some performance indexes. © 2020 IEEE.
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http://hdl.handle.net/11407/5990
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