Membrane gas separation is a promising technology for carbon capture due to its high energy efficiency, easy scale-up and simple operation. In particular, carbon capture followed by syngas production becomes important...
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Membrane gas separation is a promising technology for carbon capture due to its high energy efficiency, easy scale-up and simple operation. In particular, carbon capture followed by syngas production becomes important as hydrogen is deemed to be a prominent candidate to substitute fossil fuels. Therefore there is the need of understanding the effects of process operation and design variables on hydrogen production and CO2 separation efficiency in membrane gas capture for blue hydrogen production. This work presents a predictive model for a hollow fibre membrane module that can be applied to multicomponent gas separation. The developed model accounts for concentration polarisation in a multicomponent system, caused by limited mass transfer near selective membrane barriers, as well as axial variations in gas flowrates and pressures. A number of simulations are undertaken by varying membrane module properties and feed flowrates in order to investigate their effects on product quantity and quality. Finally the model is validated against experimental data available in the literature. Copyright (c) 2022 The Authors. This is an open access article under the CC BY-NC-ND license(https://***/licenses/by-nc-nd/4.0/)
To guarantee the operational safety of unmanned aircraft systems (UASs) in short time scales, it is important to adopt the systems for planning conflict-free trajectories which are robust against the uncertainty of th...
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To guarantee the operational safety of unmanned aircraft systems (UASs) in short time scales, it is important to adopt the systems for planning conflict-free trajectories which are robust against the uncertainty of the tactical flight intent of neighboring UASs and the wind conditions. Thus, the present paper proposes a new decentralized trajectory optimization method that enables to track the strategic four-dimensional trajectories as much as possible while maintaining the necessary separation from the neighboring UASs under the above-stated uncertainty. The proposed method adopts a fully decentralized formulation for separation constraints which is enabled by the worst-case estimate of the uncertainty of the neighboring UAS's decision and wind. The effectiveness of the method is demonstrated through numerical simulations. Copyright (C) 2022 The Authors.
In this study, the design, optimization and dynamic modelling of a milk pasteurization unit have been developed, using the pseudo-component approach for describing milk properties. The fluid has been regarded as a mix...
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In this study, the design, optimization and dynamic modelling of a milk pasteurization unit have been developed, using the pseudo-component approach for describing milk properties. The fluid has been regarded as a mixture of five major categories, namely water, fats, proteins, carbohydrates, and minerals. Exploiting the optimal pasteurizer configuration, selected based on the total annualized cost, a dynamic model of the process has been also derived. The simulation of the system is then used as a virtual plant to develop a nonlinear model predictive control (NMPC) designed for rejecting the more important disturbances that can enter the system. The predicted trajectories have been calculated with a simplified version of the dynamic model, obtained by neglecting parameters temperature dependence. The NMPC performance has been compared with a PI controller in terms of set-point tracking and disturbance rejection Similar results have been obtained when using the different control algorithms for the output responses, but the NMPC showed better behaviour of the manipulated variables. Copyright (C) 2022 The Authors.
Maintaining optimal skin temperature for premature infants in incubators is crucial. This work proposes a novel contactless skin servo control approach using infrared thermography (IRT), eliminating the need for intru...
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Maintaining optimal skin temperature for premature infants in incubators is crucial. This work proposes a novel contactless skin servo control approach using infrared thermography (IRT), eliminating the need for intrusive sensors. An experimental test bench evaluated the control strategy under simulated disturbances, demonstrating its effectiveness in maintaining desired skin temperature. The results suggest the potential of IRT-based control for comfortable and reliable temperature management in neonatal care. Further research is needed to refine the system and validate its clinical applicability.
In this paper seminal approaches for FDI introduced by Frank (Frank, 1990) are revisited in a bilinear setting. The proposed developments, including Fault Tolerant control (Noura et al, 2000) are applied to Building H...
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In this paper seminal approaches for FDI introduced by Frank (Frank, 1990) are revisited in a bilinear setting. The proposed developments, including Fault Tolerant control (Noura et al, 2000) are applied to Building Heating Ventilation and Air Conditioning (HVAC) systems. That is, the control system parameters and objective functions are adapted/reconfigured in the presence of a fault or performance deviation by means of an intermediate reconfigurable control layer. It allows maintaining building and HVAC operation within its specified energy and comfort performance requirements when a mechanical or operational fault takes place, until the fault is corrected. An integrated design, composed of two levels, respectively fault diagnosis and reconfiguration mechanism is proposed to recover performances after fault occurrence. This approach is applied to a two-zones building and simulation results are given to show its effectiveness. Copyright (C) 2022 The Authors.
For one class of Takagi-Sugeno uncertain time-delay discrete-time systems this paper proposes an extended way to account related constraints in problem solving of the networked control system quadratic stability, refl...
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For one class of Takagi-Sugeno uncertain time-delay discrete-time systems this paper proposes an extended way to account related constraints in problem solving of the networked control system quadratic stability, reflecting sensor drifts and communication delays. The new design conditions are proposed, exploiting a set of linear matrix inequalities to guaranty the closed-loop system quadratic stability, where a specific Lyapunov-Krasovskii functional is exploited. Combining into the functional the disturbance transfer function H-infinity norm upper bound, the design task is defined as a multi-objective robust control problem, while only the set of time-invariant control law gains are used in the fuzzy parallel structure of the controller realization. A numerical example is included to assess the feasibility of the technique and its applicability. Copyright (C) 2022 The Authors.
The article shows that the stabilizing P, PD, or PDA controllers for time-delayed first-order systems extended by automatic reset (disturbance reconstruction and compensation) established by evaluating the steady stat...
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The article shows that the stabilizing P, PD, or PDA controllers for time-delayed first-order systems extended by automatic reset (disturbance reconstruction and compensation) established by evaluating the steady state output values of the controller, yield series PI, PID or PIDA controllers. By comparing the parameters of the given controllers tuned by the method of multiple real dominant pole, it can be shown that the obtained values of the integration time constant are many times larger than the time constants of the transients of the equivalent circuits with the stabilizing controller. The proposed interpretation of the functionality of disturbance observer included in controllers with disturbance compensation significantly helps in understanding principles of their optimal tuning, can also be used for further modifications of their operation taking into account various other limitations and establishes a unique educational framework covering most of the existing traditional, modern and postmodern controllers. Copyright (C) 2022 The Authors.
This paper presents a fault-tolerant observer-based leader-following control for multi-agent systems subject to actuator faults. The stability of the observer and the controller under actuator faults is proved using t...
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This paper presents a fault-tolerant observer-based leader-following control for multi-agent systems subject to actuator faults. The stability of the observer and the controller under actuator faults is proved using the Lyapunov theory. The observer and controller gain matrices solution is expressed by means of linear matrix inequalities. The effectiveness of the proposed approach is illustrated using a numerical example associated with a virtual leader-following consensus problem of an aircraft fleet under actuator faults. Copyright (C) 2022 The Authors.
This article provides a theoretical framework for designing interactive simulation tools. The methodology is exemplified in the development of a simulation to study first and second-order dynamical systems in the fiel...
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This article provides a theoretical framework for designing interactive simulation tools. The methodology is exemplified in the development of a simulation to study first and second-order dynamical systems in the field of control Engineering. Theoretical support for the use of simulations in education is derived from cognitive theory and the philosophy of science, while software design follows the principles of multimedia material design, computer simulations, and instructional design. Some key components that integrate the virtual tool include gamification elements such as quizzes, badges, and a wide variety of pedagogical components such as tutorials, instructions, reference material, and help pop-ups. The design principles presented and the experience reported in the development of the simulation program are expected to be of use to other researchers in creating their own interactive tools. Copyright (C) 2022 The Authors.
This paper considers actuator fault detection and isolation (FDI) problem for a class of linear discrete-time systems with constant time-delay. Based on delay-free representation, a novel fault detection and isolation...
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This paper considers actuator fault detection and isolation (FDI) problem for a class of linear discrete-time systems with constant time-delay. Based on delay-free representation, a novel fault detection and isolation scheme based on a bank of L-infinity fault detection observers (FDOs) is proposed. Under the assumption that the disturbances and measurement noise are unknown but bounded, L(infinity )performance is introduced to reduce the effects of disturbances. Meanwhile, the FDOs are designed to be sensitive to the fault by means of fault detectability indices and matrix. The design conditions of the proposed FDOs are derived in terms of Linear Matrix Inequalities (LMIs). Furthermore, a zonotopic analysis method is presented to achieve the residual evaluation. Simulation results are provided to demonstrate the performance of the proposed approach. Copyright (C) 2022 The Authors.
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