Sintering process is a strongly coupled multi-variable nonlinear system with large lag and initial sensitivity. It contains control target with less manipulate variables than controlled variables, and the phase transi...
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ISBN:
(纸本)9798350366907;9789887581581
Sintering process is a strongly coupled multi-variable nonlinear system with large lag and initial sensitivity. It contains control target with less manipulate variables than controlled variables, and the phase transitions vary frequently and severely during operation. For that, this paper demonstrated novel description with pattern-moving methodology for the sintering process of nonlinear dynamical system that is an integrated method including pattern recognition and improved generalized cell mapping (GCM). The pattern class variable was first proposed to describe a class of complex systems with motion statistical characteristics. Because of the pattern class variable is not calculated directly, an improved measurement approach combined GCM with Autoregressive Integrated Moving Average (ARIMA) was put forward and applied in actual industrial scene. At last, simulation experiments with real data are completed, which revealed the availability and feasibility of the proposed scheme.
The paper presents the preliminary results of research concerning the data exploration approach in application to the control of production chains. The aim of research is finding the rules that can help the correct se...
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How to combine the big data technologies and the corporate financial analysis methodologies to collect, store and analyze various data and finally dig out useful and valuable business information is an interesting res...
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The gas exchange process in a modern diesel engine is generally modeled using manufacturer-provided performance maps that describe mass flows through, and efficiencies of the turbine and compressor. These maps are typ...
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ISBN:
(纸本)9780791854761
The gas exchange process in a modern diesel engine is generally modeled using manufacturer-provided performance maps that describe mass flows through, and efficiencies of the turbine and compressor. These maps are typically implemented as look-up tables requiring multiple interpolations based on pressure ratios across the turbine and compressor;as well as the turbocharger shaft speed. In the case of variable-geometry turbochargers, the nozzle position is also an input to these maps. This method of interpolating or extrapolating data is undesirable when modeling for estimation and control, and though there have been several previous efforts to reduce dependence on turbomachinery maps, many of these approaches are complex and not easily implemented in engine control systems. As such, the aim of this paper is to reduce turbocharger maps to analytical functions for models amenable to estimation and control.
This paper discusses the limitations and prospects of using equilibrium-based column models for the dynamic simulation of post-combustion CO2 capture processes. Based on their features, one of three available commerci...
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This paper discusses the limitations and prospects of using equilibrium-based column models for the dynamic simulation of post-combustion CO2 capture processes. Based on their features, one of three available commercial process simulators was chosen for this study. A pilot plant configuration adopted from literature was modeled and simulated using this simulator. Simulation results were compared with plant data and with results using standard rate-based models as available in literature. Temperature profiles in columns and overall mass and energy balances were found to be similar to plant data;however, CO2 capture-rate, reboiler-duty, and rich-loading using the model were overestimated. A method of reduced stage efficiencies in the absorber was used, which improved performance prediction further with a maximum deviation of 5%. Further, this dynamic model was used to analyze the process subjected to variation in flue gas flow-rate with a similar trend of futuristic power plants by controlling either liquid to gas ratio or CO2 capture-rate. controlling liquid to gas ratio provided more control over the reboiler-duty while controlling the capture-rate focused on maintaining a certain capture ratio. The advantages and disadvantages of both methods are discussed and based on that, the controlling capture ratio was found suitable for using while power plant works flexibly with stringent emission regulations. (C) 2017 Elsevier Ltd. All rights reserved.
Quadruple tank process is a non-linear system, have multiple manipulated and controlled variables and have significant cross binding parameters. Furthermore, the modified system is affected by some unknown measurement...
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ISBN:
(纸本)9781479982523
Quadruple tank process is a non-linear system, have multiple manipulated and controlled variables and have significant cross binding parameters. Furthermore, the modified system is affected by some unknown measurement noise and stochastic disturbance variables which make it more complicated to model and control. In this paper, a modified quadruple-tank system has been described, all the important variables has been outlined and a mathematical model has been presented. We developed deterministic and stochastic models using differential equations and simulate the models using Matlab. Subsequently, steady state analysis is included to determine the operating window for the set points. The purpose to have an operating window for the system is to distinguish the range of feasible region to select the set points for optimum operations. Therefore, in this paper a virtual process plant is created, we investigate the operating window and construct the model in an appropriate form for future controller design.
This work develops a federated learning-based distributed model predictive control (FL-DMPC) method for nonlinear systems with multiple subsystems to address the privacy-preserving issue of data transmission among sub...
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ISBN:
(纸本)9798350382662;9798350382655
This work develops a federated learning-based distributed model predictive control (FL-DMPC) method for nonlinear systems with multiple subsystems to address the privacy-preserving issue of data transmission among subsystems and heterogeneity issue due to non-independent and identically distributed data among subsystems. Specifically, a novel FL framework is proposed to aggregate submodels into a global FL model with a sufficiently small modeling error with provable convergence properties derived based on iteration theory. Subsequently, by incorporating the FL model into a DMPC scheme, an FL-DMPC method is presented to achieve the expected performance of nonlinear systems. Finally, a chemical process network is adopted to demonstrate the effectiveness of the proposed FL-DMPC method.
Effective and reliable monitoring and diagnostics of processcontrol installations is of utmost importance, as they are important part of world's economy. Detection of faulty behavior fits really well into this pr...
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ISBN:
(纸本)9781728173818;9781728173801
Effective and reliable monitoring and diagnostics of processcontrol installations is of utmost importance, as they are important part of world's economy. Detection of faulty behavior fits really well into this problem. Most of known results provides good techniques for analysing steady states, but have issues with the transients. In this paper we propose a new method for detecting anomalies in transient states using combination of Gaussian processes and data depth functions. We create a model of a transient signal and using its parameters also a model for candidate for fault analysis. Their similarity is verified using data depth. We present how such application works for a water tank system and different types of data depth.
The missile fuze control system, is the most central functional component of the strategic missile control system. In the trend of increasingly strong combat target protection, how to improve the accuracy of detonatio...
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As a part of propagation characteristics about mobile communication channels, slow fading caused by shadowing not only obeys the lognormal probability density distribution (PDF), but also has an exponential autocorrel...
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ISBN:
(纸本)0769519067
As a part of propagation characteristics about mobile communication channels, slow fading caused by shadowing not only obeys the lognormal probability density distribution (PDF), but also has an exponential autocorrelation function. Cross-correlation of shadowing process between uplink and downlink also should be included Generally only probability distribution of slow fading is considered in modeling of mobile communication channels, but not the power spectral density (PSD) or cross-power spectrum. An accurate correlation/probability model for shadow fading is of vital importance for both analytical and simulation based evaluation of any power control and handover scheme. The paper proposed a method to generate the slow fading random process with specified PDF/PSD for the first time. The applications of the method are introduced in brief Theoretic analysis has been given to prove the validation of the method And simulation steps are described The simulation results show the method works well.
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