Cracking gas compressor is usually a centrifugal compressor. The information on the performance of a centrifugal compressor under all conditions is not available, which restricts the operation optimization for compres...
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Cracking gas compressor is usually a centrifugal compressor. The information on the performance of a centrifugal compressor under all conditions is not available, which restricts the operation optimization for compressor. To solve this problem, two back propagation (BP) neural networks were introduced to model the performance of a compressor by using the data provided by manufacturer. The input data of the model under other conditions should be corrected according to the similarity theory. The method was used to optimize the system of a cracking gas compressor by embedding the compressor performance model into the ASPEN PLUS model of compressor. The result shows that it is an effective method to optimize the compressor system.
Catalytic naphtha reforming is one of the most important processes for high octane gasoline manufacture and aromatic hydrocarbons production. In this article, a modified differential evolution (DE) algorithm is propos...
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Catalytic naphtha reforming is one of the most important processes for high octane gasoline manufacture and aromatic hydrocarbons production. In this article, a modified differential evolution (DE) algorithm is proposed to optimize an actual continuous catalytic naphtha reforming (CCR) process. The optimization problem considers to minimize the energy consumption and maximize the aromatics yield. The CCR process model is established by adopting the 27-lumped kinetics reaction network, and all parameters are adjusted based on the actual process data. The DE algorithm is modified to maintain the diversity of the population. In this mechanism, individuals further from the best individual have larger possibilities to be selected in the mutation operator. The modified DE is evaluated by solving 6 benchmark functions, and the performance is compared with classic DEs. The results demonstrate that the modified DE has better global search ability and higher computation efficiency. Furthermore, the optimization results of catalytic naphtha reforming process indicate that the proposed algorithm has the ability of locating the optimal operating points, in which the aromatics yield is improved, while energy consumption is reduced. Meanwhile, the optimal operating points and results are discussed at the end of the article.
In this paper,we consider fast and desired consensus of directed network via pinning ***,we provide a sufficient condition for the stability of desired consensus ***,we investigate the problem of selecting optimal pin...
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ISBN:
(纸本)9781479900305
In this paper,we consider fast and desired consensus of directed network via pinning ***,we provide a sufficient condition for the stability of desired consensus ***,we investigate the problem of selecting optimal pinned nodes for driving fastest consensus,which is formulated as an Mixed-Integer Semidefinite ***,we illustrate all the results by simulating on some typical directed networks.
Recent progress in accurate modeling of steam cracking plants has enabled global optimization to be performed at a plant-wide level. This paper presents a real time optimization (RTO) system developed by East China Un...
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In this paper, explicit model predictive control (MPC) schemes for discrete-time linear-invariant multi-rate systems with constraints on inputs and states are studied. The optimization problem of multi-rate predictive...
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Brain computer interface (BCI) could help patients to manipulate external devices based on the specific brain activities. One of the most popular BCI systems is the visual-based BCI system. Mostly, users were asked to...
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In this study, the lth order (l≥2) consensus problem for multi-agent systems is considered, which generalises the existing second-order consensus algorithm. A linear consensus protocol is proposed for solving such a ...
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The disturbance in chemicalprocess is complex and has the multiple characteristics,and the control performance assessment of multivariable system with multiple disturbances is one of the hot *** this paper,the contro...
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ISBN:
(纸本)9781509046584
The disturbance in chemicalprocess is complex and has the multiple characteristics,and the control performance assessment of multivariable system with multiple disturbances is one of the hot *** this paper,the control performance assessment method of multivariable systems,based on multi-time-variant-disturbances mixing generalized minimum variance(MMGMV),is ***,the generalized minimum variance control is introduced into the multivariable system performance assessment,and the weight matrix is designed according to the time-varying control ***,the multivariable MMGMV controller is designed combining with the idea of multi-model weights mixing for all multi-time-varying ***,the output variance of each controlled variable is obtained using MMGMV *** average variance of controlled variable in the MMGMV controller acts as the criterion of performance assessment,and combining with the output variance of actual controller for the controller performance *** with the minimum variance benchmark,the developed method is more reasonable and practical for the control performance assessment of multivariable *** developed approach is demonstrated by a numerical simulation and a heavy oil fractionation of processcontrol system.
In this paper, a quantized H∞ control problem for networked control systems (NCSs) subject to randomly multi-step transmission delays is investigated. A quantizer is used before the measurement signal enters the comm...
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作者:
Kosarnovsky, B.Arogeti, S.Ministry of Education
Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Shanghai P. R. China
In this paper we present a novel concept of a tethered-drones system. The system includes an arbitrary number of drones connected serially to an active ground station. The considered drones are of quadrotor type. Util...
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ISBN:
(纸本)9781728136059
In this paper we present a novel concept of a tethered-drones system. The system includes an arbitrary number of drones connected serially to an active ground station. The considered drones are of quadrotor type. Utilizing a unique pulley-gimbal mechanism, each drone can freely move along the tether and its position is measured with respect to the ground station without the use of standard onboard inertial sensors. The proposed system can be thought of as a robotic arm where each tether section acts as a variable-length link and each drone is a joint actuator. We model the coupled behavior of the ground station and the string, taking into account an arbitrary number of drones. Then, a controller that combines tools from geometric-control and linear-control is suggested. Finally, the concept is demonstrated using numerical simulations, which also illustrate its potential effectiveness.
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