Motivated by thermodynamic concepts strongly related to the second law of thermodynamics, this paper deals with the mathematical foundations of thermodynamics to reconstruct some storage functions usable both for the ...
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Motivated by thermodynamic concepts strongly related to the second law of thermodynamics, this paper deals with the mathematical foundations of thermodynamics to reconstruct some storage functions usable both for the stability analysis and control of homogeneous chemical processes through Hie case study of non isothermal continuous stirred tank reactors (CST Rs). Besides, the equivalence of the storage functions in the thermodynamics framework is also shown. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In this work, integrated process design and control of reactive distillation processes involving multi-elements is presented. The reactive distillation column is designed using methods and tools which are similar in c...
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In this work, integrated process design and control of reactive distillation processes involving multi-elements is presented. The reactive distillation column is designed using methods and tools which are similar in concept to non-reactive distillation design methods, such as driving force approach. The methods employed in this work are based on equivalent element concept. This concept facilitates the representation of a multi-element reactive system as equivalent binary light and heavy key elements. First, the reactive distillation column is designed at the maximum driving force where through steady state analysis it is shown that it has the least energy consumption and carbon footprint. Next, through analytical and dynamic analysis it is verified that the control structure;disturbance rejection and the controllability at the maximum driving force is the best compared to any other design alternative which does not operate at the maximum driving force. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
The focus of this paper is to investigate stabilizing control (single-loop PID control) of a dividing wall column (DWC) for separating ethanol, n-propanol and n-butanol at atmospheric pressure. Three control structure...
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The focus of this paper is to investigate stabilizing control (single-loop PID control) of a dividing wall column (DWC) for separating ethanol, n-propanol and n-butanol at atmospheric pressure. Three control structures arc studied: control structure with fixed split ratios (CS1), control structure with an active liquid split (CS2) and control structure with an active vapor split ratio (CS3). The dynamic performances of the three proposed control structures prove that the three control structures are able to handle feed disturbances inserted into DWC. The simple control structure with fixed split ratios (CS1) is more applicable in industry. Considering the vapor split ratio disturbance, CS2 and CS3 are better than CS1. If the feed composition of A rarely changes, CS3 is able to handle the other feed disturbances. This paper proves that the three-product DWC can be controlled with only three temperature controllers. (C) 2016;IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In industrial applications, practitioners usually face a considerable complexity when optimizing operating strategies under uncertainty. Typical real-world problems arising in practice are notoriously challenging from...
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ISBN:
(纸本)9781467399418
In industrial applications, practitioners usually face a considerable complexity when optimizing operating strategies under uncertainty. Typical real-world problems arising in practice are notoriously challenging from a computational viewpoint, requiring solutions to Markov Decision problems in high dimensions. In this work, we address a novel approach to obtain an approximate solution to a certain class of problems, whose state process follows a controlled linear dynamics. Our techniques is illustrated by an implementation within the statistical language R, which we discuss by solving a typical problem arising in practice.
Principal component analysis (PCA) has been widely used for data dimension reduction and process fault detection. However, interpreting the principal components and the outcomes of PCA-based monitoring techniques is a...
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Principal component analysis (PCA) has been widely used for data dimension reduction and process fault detection. However, interpreting the principal components and the outcomes of PCA-based monitoring techniques is a challenging task since each principal component is a linear combination of the original variables which can be numerous in most modern applications. To address this challenge. we first propose the use of sparse principal component analysis (SPCA) where the loadings of some variables in principal components are restricted to zero. This paper then describes a technique to determine the number of non-zero loadings in each principal component. Furthermore, we compare the performance of PCA and SPCA in fault detection. The validity and potential of SPCA are demonstrated through simulated data and a comparative study with the benchmark Tennessee Eastman process. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Multistream heat exchangers (MHEXs) are found in many energy intensive and industrially relevant cryogenic processes. However, design and optimization of such processes is rendered difficult by the inability to simula...
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Multistream heat exchangers (MHEXs) are found in many energy intensive and industrially relevant cryogenic processes. However, design and optimization of such processes is rendered difficult by the inability to simulate MHEXs robustly as most current flowsheet-level MHEX models solve only an energy balance with no constraint on second law feasibility The new model described herein combines an extension of the classical pinch analysis algorithm with explicit dependence on the heat exchange area to formulate a nonsmooth equation system which can be solved for up to three unknown variables in an MHEX. The resulting model is further augmented to simulate realistic thermodynamic phenomena, such as phase change and equilibrium, which are also naturally described by additional nonsmooth equations. (C) 2016, IFAC (International Federation of Antomatic control) Hosting by Elsevier Ltd. All rights reserved.
Identification of mathematical models is an important task for the design and the optimization of biokinetic processes. Monod or Tessier growth-rate models are often chosen by default, although these models are not ab...
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Identification of mathematical models is an important task for the design and the optimization of biokinetic processes. Monod or Tessier growth-rate models are often chosen by default, although these models are not able to represent the dynamics of all bacterial growth processes. This imperfect representation then affects the quality of the model prediction. This paper introduces an alternative approach, which IS based on constraints such as monotonicity and concavity and the use of shape-constrained spline functions, to describe the substrate affinity with high parametric flexibility. This way, the difficult task of searching through potentially incomplete rate-model libraries can be circumvented. A simulated case study is used to illustrate the superiority of the proposed method to represent, non-ideal growth conditions, where neither Monod nor Tessier kinetics offer a good approximation. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Real-Time Optimization (RTO) is not always able to achieve optimal process operation due to the presence of significant uncertainty about the plant models that are used to make decisions and also due to the difference...
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Real-Time Optimization (RTO) is not always able to achieve optimal process operation due to the presence of significant uncertainty about the plant models that are used to make decisions and also due to the differences between control architecture layers which operate on different time-scales and use different kind of models. To overcome these issues the economic optimization problem is modified following the Modifier Adaptation methodology to bring the process to the real optimum despite the presence of uncertainty by using plant measurements. To deal with parametric and structural plant-model mismatch, a new approach is presented that combines the estimation of process gradients from transient and steady-state information. It speeds up the convergence of Modifier Adaptation methodology to the process optimum. The approach is illustrated through the simulated example of a depropanizer distillation column. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Extremum seeking control is a subclass of adaptive control, aimed at steady-state optimization. In this paper we apply ideas from extremum seeking control to optimize the transient performance of processes displaying ...
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Extremum seeking control is a subclass of adaptive control, aimed at steady-state optimization. In this paper we apply ideas from extremum seeking control to optimize the transient performance of processes displaying multiple time-scale behavior. The main motivation is the need to optimize biochemical reactors where the biomass growth is significantly slower than the metabolism and where it is of interest to optimize the substrate conversion during the extended periods of net biomass growth or decay. Essentially, by employing singular perturbations, we design a controller that optimizes the fast boundary layer of the system ensuring that the process output is maintained near its maximum during transients towards the steady-state. Similar to greedy methods in optimization theory, we show that the local optimization of the fast layer under certain conditions will provide convergence to the overall optimal steady-state. In particular, this will apply to the type of biochemical reactors that are of main concern in this paper. The proposed controller is demonstrated by application to a model of the CANON process used for nitrogen removal in wastewater treatment. (C) 2016, IFAC (International Federation of Antomatic control) Hosting by Elsevier Ltd. All rights reserved.
Periodic operations can be beneficial to chemical and biological systems, leading to better efficiency and plant economy compared to steady state operation. In this paper, the tracking control of desired periodic oper...
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Periodic operations can be beneficial to chemical and biological systems, leading to better efficiency and plant economy compared to steady state operation. In this paper, the tracking control of desired periodic operation based on control contraction metrics is considered. A relaxation method is proposed to convert the nonconvex control synthesis problem into a convex sum-of-squares programming. Finally, an application to a Lotka-Volterra system of sustained oscillating chemical reactions is presented for illustration. The main advantages of tins approach include: (1) the feedback information is geodesics, which is a general deviation considering local nonlinearity;(2) the differential state feedback control law is reference trajectory independent.;(3) the control design can be carried out via numerical optimization. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
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