A flexible and powerful dynamic simulation approach to grinding circuit simulation has recently been developed in CSIRO Minerals. The MATLAB/SIMULINK graphical programming environment has been used to construct a libr...
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A flexible and powerful dynamic simulation approach to grinding circuit simulation has recently been developed in CSIRO Minerals. The MATLAB/SIMULINK graphical programming environment has been used to construct a library of dynamic mathematical models of a number of key grinding and separation devices and to link them into various complex dynamic grinding circuits. True real-time dynamic simulation and visualisation of interlinked unit process operations in grinding circuits of arbitrary complexity can readily be achieved. The application of the dynamic simulation approach can help greatly in understanding the sometimes complex, nonlinear behaviour and dynamic interactions in various grinding circuits. Dynamic simulation can be used to test "what-ifs" in grinding process operations such as circuit response to variations in feed and unit operation characteristics. It is a cheap and effective means of investigating circuit optimisation without the risk of possible damage to operating units or production of a large amount of unwanted product during a physical optimisation process. Dynamic simulation is also extremely useful in developing and testing new ideas for process soft-sensors and control. The experience and knowledge gained in dynamic simulation of grinding circuits is directly applicable to other dynamic flowsheet modelling and optimisation problems in the minerals and process engineering industries. The advantages of building flowsheet models within the MATLAB/SIMULINK programming environment include the ability to readily develop and modify continuous, discrete and/or hybrid models of individual unit operations, with solution of the flowsheet system by a powerful in-built suite of equation solvers and analysis of results utilising extensive existing graphical capabilities. Flowsheet models of arbitrary complexity can easily be graphically developed, while individual unit models can be developed in terms of graphical block diagrams and/or customised block mod
A numerical model based on artificial neural networks (ANN) was developed to simulate the dynamic behaviour of a three reactors network (or ring reactor), with periodic change of the feed position, when low-pressure m...
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A numerical model based on artificial neural networks (ANN) was developed to simulate the dynamic behaviour of a three reactors network (or ring reactor), with periodic change of the feed position, when low-pressure methanol synthesis is carried out. A multilayer, feedforward, fully connected ANN was designed and the history stack adaptation algorithm was implemented and tested with quite good results both in terms of model identification and learning rates. The influence of the ANN parameters was addressed, leading to simple guidelines for the selection of their values. A detailed model was used to generate the patterns adopted for the learning and testing phases. The simplified model was finalised to develop a model predictive control scheme in order to maximise methanol yield and to fulfil process constraints. (C) 2004 Elsevier Ltd. All rights reserved.
The proceedings contain 25 papers. The special focus in this conference is on Multi-disciplinary Models for Agent Societies, Coordination, Organization, Abstractions, Methodologies and Tools for engineering Agent Soci...
ISBN:
(纸本)9783540259466
The proceedings contain 25 papers. The special focus in this conference is on Multi-disciplinary Models for Agent Societies, Coordination, Organization, Abstractions, Methodologies and Tools for engineering Agent Societies. The topics include: Emergence of collective behaviour and problem solving;social order and adaptability in animal and human cultures as analogues for agent communities;using swarm intelligence in Linda systems;engineering democracy in open agent systems;welfare engineering in multiagent systems;dynamics of collective attitudes during teamwork;protecting privacy in open systems by modelling social behaviour of software agents;interaction monitoring and termination detection for agent societies;competent agents and customising protocols;coordination and conversation protocols in open multi-agent systems;adaptability patterns of multi-agent organizations;integrating and orchestrating services upon an agent coordination infrastructure;formalizing the reusability of software agents;laying down the foundations of an agent modelling methodology for fault-tolerant multi-agent systems;supporting tropos concepts in agent OPEN;advancing profile use in agent societies;a computational framework for social agents in agent mediated e-commerce and a location and context sensitive agent system.
A flexible and powerful dynamic simulation approach to grinding circuit simulation has recently been developed in CSIRO Minerals. The MATLAB/SIMULINK graphical programming environment has been used to construct a libr...
详细信息
A flexible and powerful dynamic simulation approach to grinding circuit simulation has recently been developed in CSIRO Minerals. The MATLAB/SIMULINK graphical programming environment has been used to construct a library of dynamic mathematical models of a number of key grinding and separation devices and to link them into various complex dynamic grinding circuits. True real-time dynamic simulation and visualisation of interlinked unit process operations in grinding circuits of arbitrary complexity can readily be achieved. The application of the dynamic simulation approach can help greatly in understanding the sometimes complex, nonlinear behaviour and dynamic interactions in various grinding circuits. Dynamic simulation can be used to test "what-ifs" in grinding process operations such as circuit response to variations in feed and unit operation characteristics. It is a cheap and effective means of investigating circuit optimisation without the risk of possible damage to operating units or production of a large amount of unwanted product during a physical optimisation process. Dynamic simulation is also extremely useful in developing and testing new ideas for process soft-sensors and control. The experience and knowledge gained in dynamic simulation of grinding circuits is directly applicable to other dynamic flowsheet modelling and optimisation problems in the minerals and process engineering industries. The advantages of building flowsheet models within the MATLAB/SIMULINK programming environment include the ability to readily develop and modify continuous, discrete and/or hybrid models of individual unit operations, with solution of the flowsheet system by a powerful in-built suite of equation solvers and analysis of results utilising extensive existing graphical capabilities. Flowsheet models of arbitrary complexity can easily be graphically developed, while individual unit models can be developed in terms of graphical block diagrams and/or customised block mod
The proceedings contain 20 papers. The special focus in this conference is on human Error, Safety and Systems Development. The topics include: The role of night vision equipment in military incidents and accidents;the...
ISBN:
(纸本)1402081529
The proceedings contain 20 papers. The special focus in this conference is on human Error, Safety and Systems Development. The topics include: The role of night vision equipment in military incidents and accidents;the global aviation information network (GAIN);development of critiquing systems in network organizations;analysing dynamic function scheduling decisions;formal verification and validation of interactive systems specifications;modelling incident scenarios;task patterns for taking into account in an efficient and systematic way user behaviours;a sampling model to ascertain automation-induced complacency in multi-task environments;decision making in avalanche terrain;failure analysis and the safety-case lifecycle;toward a human-centered UML for risk analysis;handling human factors in integrated systems engineering;studying operator behaviour during a simple but safety critical task;challenge of safety data analysis - top models wanted;the team-based operation of safety-critical programmable systems;towards a framework for systematically analysing collaborative error;integrating human factors in the design of safety critical systems and designing distributed task performance in safety-critical systems equipped with mobile devices.
A great amount of petroleum is transported by cargo ships and pipelines through the marine environment. Moreover, the increase in offshore oil exploration, and the drilling and production activities enhance the potent...
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A great amount of petroleum is transported by cargo ships and pipelines through the marine environment. Moreover, the increase in offshore oil exploration, and the drilling and production activities enhance the potential for oil spills that, due to oil toxicity, cause great damage to marine ecosystems. Assessment of the impact of an oil spill on the marine environment is often based on mathematical models, that are, more or less, phenomenological in nature. This paper describes briefly a deterministic model developed to simulate the time-dependent behavior of hypothetical oil spills near coastal regions. The model capabilities are demonstrated by applying it in two regions of different topography and bathymetry, in the framework of impact assessment studies. These two regions are near Carava, at the island of Lesvos, and near Eretria, in the Evvoikos bay, both being in the Aegean sea. The model solves a set of partial-differential equations for transient, two-phase, turbulent flow, heat and mass transfer handling various aspects of the physical, chemical and biological processes that govern the behavior of oil slicks at sea. The model has also incorporated the influence of breaking waves on oil slicks, in terms of oil natural dispersion in the water column and other slick aspects.
The electricity is one of the most important technical discoveries. It represents the base material essential for each human activity and it should be hard to imagine the contemporary world without this phenomenon. Ho...
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The electricity is one of the most important technical discoveries. It represents the base material essential for each human activity and it should be hard to imagine the contemporary world without this phenomenon. How the electrical energy demand rises up, new power-producing equipments are built. Expect the nuclear and water power plants, the thermal ones belong to the most widespread in the world. They constitute very complex systems with the steam turbine as a basic unit in which the transformation of the steam thermal energy to the prime mover mechanical power takes place. Controlling this conversion, the considerable savings can be obtained. But the control algorithm should be simulated on the system model at first and only the successful results should enable its applicability in the industry. This paper describes the development of the mathematical model of the backpressure and condensing multipart turbine and the implementation of the other energetic components in MATLAB environment. The next purpose is the testing of the designed models in the SIMULINK tool. The comparison of the data provided by the models with the real data represents the last goal.
This research presents an agent-based, bottom-up modelling approach to develop a simulation tool for estimating and predicting the spread of the human immunodeficiency virus (HIV) in a given population. HIV is mainly ...
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This research presents an agent-based, bottom-up modelling approach to develop a simulation tool for estimating and predicting the spread of the human immunodeficiency virus (HIV) in a given population. HIV is mainly a sexually transmitted disease (STD) causing a serious problem to human health. The virus is transmitted from an infected person to another who was previously healthy through different biological, social and environmental factors. The research develops the simulation tool by modelling these factors by agents. Although research has and is being conducted to estimate and predict the spread of the HIV epidemic, the proposed research seeks to investigate the spread using a different approach. The previous models used a top-down modelling approach. They are built from the general characteristics and behaviours of the population. They have not explored the potential use of agent technology. This research attempts to investigate the flexibility that the multi-agent system offers. Agent-based models are close to the situations that exist in a given real system that consists of autonomous components interacting with each other. The modelling approach has the advantage of observing the interaction made between agents, which is a difficult task in the top-down modelling approach. The research investigates the performance of the tool and presents the first results obtained.
Ultrasonic motors (USM) possess heavy nonlinear and load dependent characteristics of ultrasonic motors (USM) such as dead-zone and saturation reverse effects, which vary with driving conditions. In this paper, behavi...
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Ultrasonic motors (USM) possess heavy nonlinear and load dependent characteristics of ultrasonic motors (USM) such as dead-zone and saturation reverse effects, which vary with driving conditions. In this paper, behaviour of an ultrasonic motor is modelled using Hammerstein model structure and experimental measurements. Simulation results show the good matching between the developed model and experimental measurements.
This work presents a new approach to model the dynamic behaviour of supercapacitors using half-order systems. The new model is determined in the frequency domain but a Matlab model can be use in simulating the voltage...
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This work presents a new approach to model the dynamic behaviour of supercapacitors using half-order systems. The new model is determined in the frequency domain but a Matlab model can be use in simulating the voltage response and energy efficiency e,g. for automotive power.
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