Dynamic Control Design and Simulation of Biogas Pressurized Water Scrubbing Process

A traffic signal system established due to the congestion of vehicles at road intersections. Traffic choking at road convergence becomes a controversy for daily riders and proportionally allowing the violation of traffic rules or other hazards. The conventional traffic signal system has lots of disadvantages. Even the system is automatic but due to fixed time range it gives rise to other problem like traffic violation, air pollution indirectly this would lead to deceitful affair. The signal system has been executed using different types of controller some have fast execution time, a greater number of inputs and outputs, reliability also plays an important role in traffic signal system design. To overcome such issues, we proposed a design in this paper which works on the compactness of vehicles on traffic signals and also detects the traffic signal breach done by the vehicles. This paper shows the simulation of dynamic traffic signal and traffic breach control system with IR sensor or piezo sensor to detect the density of vehicles and traffic breach or jumping of red light. This paper related with an FPGA controller as a VLSI design using Verilog in Xilinx software.

Dynamic Operation and Simulation of Post-Combustion CO2 Capture

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.

Discrete dynamic simulation models and technique for complex control systems

<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>

There is little research concerning comparisons and combination of System Dynamics Simulation (SDS) and Agent Based Simulation (ABS). ABS is a paradigm used in many levels of abstraction, including those levels covered by SDS. We believe that the establishment of frameworks for the choice between these two simulation approaches would contribute to the simulation research. Hence, our work aims for the establishment of directions for the choice between SDS and ABS approaches for immune system-related problems. Previously, we compared the use of ABS and SDS for modelling agents' behaviourin an environment with no movement or interactions between these agents. We concluded that for these types of agents it is preferable to use SDS, as it takes up less computational resources and produces the same results as those obtained by the ABS model. In order to move this research forward, our next research question is: if we introduce interactions between these agents will SDS still be the most appropriate paradigm to be used? To answer this question for immune system simulation problems, we will use, as case studies, models involving interactions between tumour cells and immune effector cells. Experiments show that there are cases where SDS and ABS can not be used interchangeably, and therefore, their comparison is not straightforward.

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.

Design and validation of control strategies requires a knowledge of both control theory and the process to be controlled. These activities can be time consuming if a process is complex, involving many interacting equipments with non-linear characteristics. Simulators have proven to be a powerful tool in the design and validation of control structures for this type of complex process. The aim of this chapter is to describe a dynamic simulator for comminution plants implemented in a commercial simulation platform, and to illustrate its use in the design of control strategies for different stages in the comminution process.

Process Dynamic Analysis and Control Strategy for COGEN option Used for Flare Utilization

In this paper, a systematic approach to design the control system of a commercial-scale integrated gasification combined cycle (IGCC) power plant with CO2 capture is considered. The control system design is developed with the objective of optimizing a desired scalar function while satisfying operational and environmental constraints in the presence of measured and unmeasured disturbances. Various objective functions can be considered for the control system design such as maximization of profit, maximization of the power produced, or minimization of the auxiliary power consumed in the plant. The design of such a control system can make the IGCC plant suitable to play an active role in the smart grid era by enabling operation in the load-following mode as demand for electricity from the grid fluctuates over time. In addition, other penalty functions such as emission penalties for CO2 or other criteria pollutants can be considered in the control system design.;The control system design is performed in two stages. In the first stage, a top-down analysis is used to generate a list of controlled, manipulated, and disturbance variables considering a scalar operational objective and other process constraints. In this section, innovative methods devised for primary and secondary controlled variable selection will be discussed.Exploiting these results, the second stage uses a bottom-up approach for simultaneous design of the control structure and the controllers. In this section, a novel means of control structure design has been proposed.;In this research, the proposed two-stage control system design approach is applied to the IGCC's acid gas removal (AGR) process which uses the physical solvent Selexol(TM) to selectively remove CO2 and H2S from the shifted syngas. Aspen Plus DynamicsRTM is used to develop the AGR process model while MATLABRTM is used to perform the control system design. This work has shown the proposed design procedure for plantwide control yields an optimal control structure. Additionally, the methods proposed in this work for primary and secondary controlled variable selection yield controlled variables which balance economic and control performance. Finally, the method proposed for control structure design has been found to yield a control structure that balance the control performance with controller complexity.

Economic development is faced with the challenge of global financial crisis currently, and power economy is affected inevitably. To quantitatively evaluate the impact of financial crisis on power economy, a power economy simulation model of econometric model is proposed in this paper, and a dynamic simulation platform based on the proposed model named dynamic power economy simulation system (DPESS) is developed by multi-agent system. Agents DPESS involved consist of four categories: industry agent, government agent, market agent and resident agent. It provides to the policy makers a useful tool to evaluate the influence of economic uncertainty such as global financial crisis and to evaluate the effect of policy regulation impacting on the total electricity consumption. By simulating three different scenarios on electricity consumption, minor and discrete policy regulation is proposed.

The understanding of the dynamic behavior of distillation columns has received considerable attention because distillation is one of the most widely used unit operations in chemical process industries. This paper reports a dynamic simulation study of the possible distillation columns sequences of Dew pointing unit in the second phase of South Pars Gas Refinery. In this unit, three columns are used for separating the feed of normal paraffin, from methane to n-Decane into the four mixtures of products; so five different simple columns sequences are possible. In this work, we made use of linking between Aspen dynamic and MATLAB Simulink software’s for achieving our purpose. At first, simulation and design of the distillation sequences were performed in steady state by using the process simulators Aspen Plus 2006. After steady state simulation, the parameters required for the dynamic simulation were entered and the files were exported to ASPEN Dynamics. PI and PID controller as basic controllers were automatically added and were tuned by the conservative Tyreus–Luyben tuning method. Then the model which connects MATLAB to Aspen Dynamic was created in Simulink and the behavior of the five different sequences in dynamic regime was observed after changing the flow rate of the feed steam by. The results show that the steady state simulation is suitable for the start point, but it is better to use dynamic simulation to design and simulate the chemical process industries because in dynamic simulator there are nonlinear models for calculating the equations of state and simulating the chemical process. In addition, in dynamic simulation we are faced with real condition of process so the obtained results will be close to the real ones. After dynamic investigation, it were found that the sequences-2, sequences-4 and sequences-5 have suitable dynamic behavior for controlling because of auto-rejection of the disturbances, but the sequences-1 and sequences-3 have complex dynamic response and they are found to be hard to control.

Dynamic feedback control of day-to-day traffic disequilibrium process

The purpose of this column is to announce the availability of computer programs as a companion for the examples in many of the textbooks used in courses for teaching control engineers [1]. The computer programs are written in Scilab, which is free open-source software for numerical computations originally developed at Inria [2] and currently managed by Scilab Enterprises [3]. Scilab is an alternative high-level programming language to Matlab, with similar functionalities such as linear algebra, two- and three-dimensional visualization, optimization, statistics, signal processing, dynamic simulation, and control systems analysis and design.

Based on morphogenesis model, driven by ΣTU (Accumulated Thermal Units), soil, variety and management databases and developed the process-based muskmelon dynamic growth simulation system using component-based software technology. The system was programmed in the .NET framework with the C# language and the database was built in Access 2003. The implemented system could be used for predicting growth progress and morphological architecture of muskmelon plant under various environments and management strategies. System functions include information management, dynamic growth simulation, chart and table output and system help. This system should be useful for perfect the morphogenesis process of greenhouse muskmelon and lay a foundation for development of visual agriculture.