Design and implementation of SiPESC platform construction process dynamic simulation system

<div class="htmlview paragraph">The purpose of dynamic modeling and simulation of Advanced Life Support (ALS) systems is to help design them. Static steady state systems analysis provides basic information and is necessary to guide dynamic modeling, but static analysis is not sufficient to design and compare systems. ALS systems must respond to external input variations and internal off-nominal behavior. Buffer sizing, resupply scheduling, failure response, and control system design are aspects of dynamic system design. We develop two dynamic mass flow models and use them in simulations to evaluate systems issues, optimize designs, and make system design trades. One model is of nitrogen leakage in the space station, the other is of a waste processor failure in a regenerative life support system.</div> <div class="htmlview paragraph">Most systems analyses are concerned with optimizing the cost/benefit of a system at its nominal steady-state operating point. ALS analysis must go beyond the static steady state to include dynamic system design. All life support systems exhibit behavior that varies over time. ALS systems must respond to equipment operating cycles, repair schedules, and occasional off-nominal behavior or malfunctions. Biological components, such as bioreactors, composters, and food plant growth chambers, usually have operating cycles or other complex time behavior. Buffer sizes, material stocks, and resupply rates determine dynamic system behavior and directly affect system mass and cost. Dynamic simulation is needed to avoid the extremes of costly over-design of buffers and material reserves or system failure due to insufficient buffers and lack of stored material.</div>

Dynamic Simulation and Control System Design for Gas-Liquid Cylindrical Cyclone Separators S. Wang; S. Wang University of Tulsa Search for other works by this author on: This Site Google Scholar R.S. Mohan; R.S. Mohan University of Tulsa Search for other works by this author on: This Site Google Scholar O. Shoham; O. Shoham University of Tulsa Search for other works by this author on: This Site Google Scholar G.E. Kouba G.E. Kouba Chevron Petroleum Technology Co. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, September 1998. Paper Number: SPE-49175-MS https://doi.org/10.2118/49175-MS Published: September 27 1998 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Wang, S., Mohan, R.S., Shoham, O., and G.E. Kouba. "Dynamic Simulation and Control System Design for Gas-Liquid Cylindrical Cyclone Separators." Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, September 1998. doi: https://doi.org/10.2118/49175-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Annual Technical Conference and Exhibition Search Advanced Search AbstractGas-Liquid Cylindrical Cyclone (GLCC) separator performance can be considerably improved by adopting a suitable control strategy to reduce liquid carry-over into the gas stream or gas carry-under into the liquid stream. A dynamic model for control of GLCC liquid level and pressure using classical control techniques is developed in this paper for the first time. Detailed analysis of the GLCC control system stability and transient response indicates that liquid level control could be achieved effectively by a control valve in the liquid outlet for gas dominated systems or by a control valve in the gas outlet for liquid dominated systems. Based on the proposed linear control system model, the system performance is simulated using a suitable software design tool. The novel control system design approach presented in this paper forms a framework for the GLCC active control system optimization.P. 545 Keywords: liquid level, control valve, upstream oil & gas, controller, gas-liquid cylindrical cyclone separator, transfer function, drillstem/well testing, dynamic simulation, separation and treating, shoham Subjects: Well & Reservoir Surveillance and Monitoring, Processing Systems and Design, Formation Evaluation & Management, Information Management and Systems, Downhole and wellsite flow metering, Separation and treating, Drillstem/well testing This content is only available via PDF. 1998. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

In order to solve the problem that the decision-making command and emergency response ability of ship damage control commanders is difficult to generate and slow to improve, a dynamic interactive damage control command training system is designed based on the facilities of port and shore damage control, and the technologies virtual and real combination and computer simulation are adopted, which has training functions such as damage perception, damage control plotting, information transmission and decision application. By clarifying the command and disposal process, the system effectively improves the efficiency of damage control command, has strong pertinence and expansibility, and provides an effective training means and a reliable training platform for improving the decision-making ability and level of damage control commanders.

Dynamic Control Design and Simulation of Biogas Pressurized Water Scrubbing Process

We investigate the ecient computation of a few of the lowest eigenvalues of a symmetric eigenvalue problem occurring in quantum dynamical molecular simulations. The large sparse system of order n 3 is highly structured such that its multiplication with a vector costs O(n 3 logn) oating point operations only. We compare a number of eigensolvers: subspace iteration, two variants of the restarted Lanczos algo- rithm, among them ARPACK, the Jacobi-Davidson algorithm and the classical algorithms from LAPACK for full matrices. Some of them are applied with a shift-and-invert spectral transformation. The arising systems of equations are solved by the preconditioned conjugate gradient method for which new ecient ADI-type preconditioners are proposed and analyzed.

As an important part of Urban Intelligent Traffic System, parking guidance is one of the most effective measures to solve the difficult parking problems. How to plan and design the Parking Guidance System (PGS) effectively is an issue in this paper. Through the design of the simulation, we can realize the main functions of PGS. In this article, we put forward a framework of parking guidance system, establish the 3D Dynamic Simulation System, and focus on the construction of the Microscopic Guidance Simulation Model of parking lots. Meanwhile, we also combine the PGS outside the parking lots with PGS inside to display the real-time response status while parking. With the theory of Car Following Model and Vehicle GenerationModel, we can use the priority rules and the parking paths in VISSIM to set the dynamic simulation of the traffic behavior.

The aim of this paper is to analyze different loss modeling methods for hydrostatic pumps and motors as an input for dynamic system simulation. Using dynamic simulation in an early design phase allows for optimization of driveline, driveline control and working hydraulic within several operating conditions. Using precise loss modeling methods enables prediction of energy consumption and energy losses over various duty cycles. Rising energy costs, enhanced government guidelines and increased environmental awareness require more efficient drive concepts especially in mobile working machines. Because of the complex machine structure with numerous hydraulic power consumers, like driveline, working, steering and braking hydraulic, dynamic system simulation is a need in the early design phase. This paper focuses on partial and full hydrostatic drivelines of mobile working machines which operate mostly on basis of a closed circuit hydrostatic transmission. Hydrostatic power lines connect pump and motor directly without additional losses because of valves or system characteristics. Therefore losses in the hydrostatic units have major relevance for the loss behavior of the hydrostatic transmission. The use of precise loss models is essential for analyzing hydrostatic transmission by means of dynamic system simulation. In the scope of this paper, one physical-empiric and four mathematical loss modeling methods are introduced, investigated and compared. Finally, the most promising modeling method is used for the simulation of a state of the art hydrostatic transmission.

The current research seeks to present a proposed model for the design of a dynamic cellular manufacturing system in the Light Industries Company/Ashtar in Baghdad, one of the Iraqi industrial companies. With the aim of generating an industrial environment capable of accommodating rapid changes in the market to meet the changing and diverse needs and desires of the customer at the lowest possible cost, at the right time and the required quality. To achieve the current research relied on the methods of artificial intelligence, employing them and benefiting from them in the industrial field, especially the genetic algorithm. Accordingly, the current research included a theoretical framework for the dynamic cellular manufacturing system and the genetic algorithm, in light of what was mentioned in the Arab and foreign sources related to them. The research also adopted a field framework to design this system in the researched company using the genetic algorithm, and the researchers chose the freezers and models labs as a field for study, and in light of the results of the programming language program (MATLAB). It was reached to build a proposed model that reflects the virtual reality of this system. On the basis of that, the research reached a set of conclusions, the most important of which is the genetic algorithm that contributed significantly and effectively to finding the optimal cellular path for the dynamic cellular manufacturing system and reducing both the total time and the total cost of production. In light of this a set of proposals were presented showing the importance of shifting from the existing cellular manufacturing system in the field of study to the dynamic cellular manufacturing system.

In this paper, a study has been performed for optimal design and development of dynamic voltage compensation system using supercapacitor to solve voltage sag which are considered the dominant disturbances affecting power quality. Supercapacitor is employed to compensate dynamically for the voltage sag of system with sensitive load. With the prolific use of semiconductor devices in electrical equipment, modern-day loads are becoming increasingly sensitive to the sags and the disturbances prove to be costly to industries. As a technology -driven custom power installation, the dynamic voltage compensation system is recognized to be most effective equipment that can be used to counter the voltage sag problem. Hence, this paper proposes the high-performance optimal design of dynamic voltage compensation system which can efficiently compensate the instantaneous voltage sag and instantaneous interruption of the utility voltage source. This DVR system consists of a dynamic voltage converter in series with the supply voltage and high-efficiency controller of energy storage device using supercapacitor. Recently, in energy storage systems, the supercapacitor is paid attention as a new environmentally friendly energy storage element. This capacitor stores higher energy density than the conventional electrolytic capacitor. Also, this capacitor has a lot of advantages such as maintenance-free, longer life cycle and faster charge-discharge time than the conventional battery system. However, the supercapacitor for dynamic voltage compensation system must have each charge-discharge controller to control, a series-parallel switching circuit to use energy effectively with application of several compensation techniques for optimal operating. Therefore, in this paper, optimal development of on-line type dynamic voltage compensation systems is proposed.

Automation of forging processes is important for both safety and efficiency in today's advanced manufacturing operations. This work supports the development of an Intelligent Open Die Forging System which will integrate state-of-the-art modelling techniques, automatic die selection and sequencing, full system dynamic simulation, automatic machine programming and coordination, and sensor-based process control to enable the production of more general and complex workpiece geometries than are achievable using current forging methods. Effective automation of this open die forging system requires the coordination and control of the major system components: press, robot, and furnace. In particular, forces exerted on the robot through its manipulation of the workpiece during forging must be minimized to avoid damage to the manipulator mechanism. In this paper, the application of neural networks for compliance control of the forging robot to minimize these forces is investigated. Effectiveness of the neural network-based compliance control module is evaluated through a full dynamic system simulation, which will later form a central part of the complete Intelligent Forging System. Dynamic simulation of the robot is achieved using an efficient O(N) recursive algorithm, while material flow of the workpiece is modeled with a finite element approach. Simulation and timing results for the complete processing system for a specific open die forging example are presented.

Steel cord conveyor belts are widely used in long-distance transportation of various materials. The steel cord belt is composed of rubber and steel cord core, exhibiting excellent viscoelasticity and complex dynamic characteristics during operation. The existing static elastic modulus cannot accurately reflect the real dynamic properties of the conveyor belt. In this paper, based on the catenary theory, the formula for the dynamic elastic modulus of the conveyor belt is derived by introducing the sag and elastic deformation of the steel cord conveyor belt on the basis of the static elastic modulus. The dynamic modeling of the steel cord conveyor belt is carried out using rigid belt block element + flexible beam method. Then, the RecurDyn software is used to establish the dynamic simulation system of the belt conveyor and conduct simulations, which are validated through a test bench. The results show that dynamics simulation based on the dynamic elastic modulus is closer to the real dynamic characteristics of the belt conveyor. Finally, the dynamic characteristics of belt conveyors under different start-up times, different start-up speeds, and idler spacing are analyzed using this modeling and simulation method. The results demonstrate that the dynamic elastic modulus can accurately reflect the real dynamic properties of the conveyor belt, providing a more accurate dynamic modeling and simulation method for the design of belt conveyors.

According to the relative motion relationship of pantograph-catenary system during train operation, longitudinal, vertical and transverse motion simulation systems are established, and power loading is carried out to complete the complete simulation of dynamic current collection process. The measurement and control system is established based on virtual instrument technology. A number of mechanical and electrical parameters are dynamically tested and evaluated. The experimental results show that the experimental system has good dynamic current collection simulation function and can comprehensively evaluate the dynamic current collection characteristics of pantograph-catenary system.

In order to meet the requirements of solid dosage production process, modularity, stability and total quality management, a modular production line control system based on configuration principle is presented. The design and development of system is based on configuration principle, which mainly includes configuration software module and process generation module. And the configuration software module can change its own physical and logic configurations according to different production objects, and build a dedicated product-specific control system; the process generation module implements the automatic selection and optimization of process parameters of machining equipments using neural networks. The system design principle and structure are detailed in the paper, and the practical application example in the industrial field is also presented, whose results show that the proposed control system can effectively control modular pharmaceutical production line.

Numerical simulation is a powerful tool for the investigation of complex dynamic systems and transient processes on high performance computers. However, the complexity of many realistic problems in transient dynamics requires very large systems with many time steps to get reliable numerical solutions. A fast parallel algorithm for 3-dimensional transient dynamic problems is described. The vectorized program is used for realistic simulations of mechanical waves for crack detection on a SIEMENS S400/40. The numerical results are compared to results from photoelastic investigations. 1 Transient dynamic simulation In computational dynamics the advantages of numerical simulations are: parameter investigations and the visualization of complex time-dependent processes and interactions in dynamic systems with fast interactive on-line graphics for the better understanding of the mechanical behaviour of the physical model. This is of special interest in many fields of application like earthquake engineering, soil dynamics, non-destructive testing and acoustics, where it is not possible or too expensive to obtain all the desired information by measurements: stresses and strain within a continuous system or the energy flow and intensity within a structure. Numerical simulation is a powerful tool for the investigation of complex dynamic systems and transient processes. However, the complexity of many realistic problems in transient dynamics requires very large systems. Nonlinear problems, three-dimensional problems, transient dynamic problems with a broad frequency range and wave propagation problems Transactions on Information and Communications Technologies vol 9, © 1995 WIT Press, www.witpress.com, ISSN 1743-3517

X-ray pulsar navigation is a complete autonomous navigation system, which has broad application prospects. Because of the huge cost of the navigation system, the implementation of ground simulation system is essential to the application of X-ray pulsar navigation. At present, most of researches on the semi physical experiment system are static. The aim of this article is to develop the dynamic simulation experiment system as well as its performance test. Specifically, this system consists of the dynamic signal database, X-ray simulation source, vacuum system and detection system designed for different science purposes. The core component of the X-ray source is the gate controlled X-ray tube, which can simulate the pulse profile of arbitrary waveform. The detecting system is based on the silicon drift detector with high time response capability. It uses trapezoidal shape for signal processing, and the timing resolution of the detection system is better than 2 s. In addition, the dynamic signal generation method is given by analyzing the time transformation model while the SINC interpolation method is provided to generate the dynamic pulse profile. Finally, the spacecraft revolving around the earth for a circle and receiving a pulse signal of Crab is simulated. In the simulation, the orbital radius of satellite is 6578 km and the orbital period is 5400 s. The Crab pulsar is selected, and the pulse period is 33.4 ms, the number of photons received by the detector is 200 per second. As a contrast, a set of static experiments is also performed. The correlation coefficient between the cumulative pulse profile and the standard pulse profile is 0.9953. However, the correlation coefficient decreases gradually, from 0.9094 at 300 s to 0.4080 at 5400 s, in the dynamic experiment. Then, the pulse period is searched from the arrival time of photons. The periodicity of the pulse signal is sinusoidal when the search period is 60 s. The change rate of photon flux is less than 2\%, and the influence on the period search is negligible. The variation of pulse period is consistent with the motion law of spacecraft, which indicates that spacecraft motion is the dominant factor in time conversion. Finally, the arrival time of photons is transformed into the time at the solar system barycenter, indicating that the correlation coefficient between cumulative pulse profile and standard pulse profile is 0.9882. The result shows that the simulation system can simulate the X-ray pulse signal received by the spacecraft in orbit, which can provide the experimental basis for verifying the navigation algorithm and calibrating the detector performance.