References of "Adam-Medina, Manuel"
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See detailObserver for LPV Singular Systems Applied to a Binary Distillation Column
Aguilera Gonzalez, Adriana UL; Adam-Medina, Manuel; Astorga-Zaragoza, Carlos Manuel et al

in Conference on Control and Fault-Tolerant Systems (SysTol), 2010 (2010)

In this work the application of a full-order observer to a binary distillation column, using a strategy to simplify the nonlinear model is presented. Mainly for process system, it is feasible to use ... [more ▼]

In this work the application of a full-order observer to a binary distillation column, using a strategy to simplify the nonlinear model is presented. Mainly for process system, it is feasible to use differential-algebraic equations for describing the dynamical behavior of the plant. A mathematical model is an extension of the traditional chemical and physical laws (such as the laws of conservation of mass, energy, momentum, etc.) to include the time-varying parameters which can be seen as singular systems. Then, the binary distillation column model is presented as a Linear Parameter Variant (LPV) singular system. Singular systems provide special features not found in traditional systems. In that sense, the proposed model maintains the dynamics and physical properties of the plant. The applied method guarantees the regularity and the convergence of the observer system. [less ▲]

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See detailComparison of discrete and continuous-discrete observers for composition estimation in distillation columns
Aguilera Gonzalez, Adriana UL; Tellez-Anguiano, Adriana; Astorga-Zaragoza, Carlos Manuel et al

in International Symposium on Advanced Control of Chemical Processes, ADCHEM 2009 (2009)

In this paper we present a high-gain observer implemented in its discrete and continuous-discrete versions in order to compare the performance of both algorithms. The comparison is made considering the ... [more ▼]

In this paper we present a high-gain observer implemented in its discrete and continuous-discrete versions in order to compare the performance of both algorithms. The comparison is made considering the sampling time used to perform the observer’s correction stage in order to establish that the continuous-discrete observer is the best option when a low sampling time is used. Under this condition the continuous discrete observer can process data performing a reliable on-line estimation of the system (a slow dynamics of the process is required). We apply both algorithms to a distillation column that uses the Ethanol-Water binary mixture. [less ▲]

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