Academic literature on the topic 'Water Distribution System - Matlab/Simulink Based Modeling'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Water Distribution System - Matlab/Simulink Based Modeling.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Water Distribution System - Matlab/Simulink Based Modeling"
1
Gabruk, R. A. "SAFETY OF DYNAMIC POSITIONING OF WATER TRANSPORT MOBILE OBJECTS IN THE SUPERIOR OF REASONS FOR TECHNICAL SYSTEMS FAILURE FROM DIFFERENT INDEPENDENT SOURCES." Scientific Bulletin Kherson State Maritime Academy 1, no. 22 (2020): 4–10. http://dx.doi.org/10.33815/2313-4763.2020.1.22.004-010.
Full textAbstract:
technical system safety of mobile water transport object. The process of dynamic positioning control of mobile water transport object is studied as the interaction of components of the polyergatic system. The dynamic positioning operator is considered as a functional component, which forms the sence of the human factor in safety of marine navigation. It is determined that the property of heterogeneity of the locally confined space of the techno-natural complex plays a major role, which influences safety during all space-time interval of high-precision navigation realization during conducting the complex technological work. Probability, which in the paper is considered as a measure in well-known Kolmogorov’s probability space, reflects the functional stability criteria under conditions sudden failures. Failures arise as a result of an unfavorable combination of random external factors that exceed possibilities of complex dynamic system adaptation. The value of the heterogeneous flow of perturbing events affects the distribution density nature, because other members represent constants factors in research time frame. The corresponding adequate laws of distribution describe the probability of the reliable function of complex technical systems with different hierarchy levels. Based on the formulated algebraic expressions for common in marine practice two independent failure causes of the dynamic positioning system components, an algorithm was drawn up and simulated in the MATLAB software environment with additional usage of Simulink package. Developed software package allows during practical conditions on board and on shore find solutions to a whole problem class in order to ensure safe and reliable function of the technical component, which is a part of the polyergatic system that aimed to control dynamic positioning and technological work under flow of perturbing events. The perspective directions of further scientific researches have been determined. The main direction of further researches is a creation of new intelligent decision support systems, which are based on mathematical modelling and reliability prediction. One of proposed directions form scientific ground for improvement of international and local requirements, standards and rules for technical systems and equipment redundancy.
2
Shebani, Muamer M., and Tariq Iqbal. "Dynamic Modeling, Control, and Analysis of a Solar Water Pumping System for Libya." Journal of Renewable Energy 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/8504283.
Full textAbstract:
In recent years, one of the suitable solar photovoltaic (PV) applications is a water pumping system. The simplest solar PV pumping system consists of PV array, DC-DC converter, DC motor, and water pump. In this paper, water pumping system sizing for Libya is evaluated based on a daily demand using HOMER software, and dynamic modeling of a solar PV water pumping system using a Permanent Magnet DC (PMDC) motor is presented in Matlab/Simulink environment. The system performance with maximum power point tracking (MPPT) based on Fractional Open Circuit Voltage (FOCV) is evaluated with and without a battery storage system. In some applications, a rated voltage is needed to connect a PMDC motor to a PV array through a DC-DC converter and in other applications the input voltage can vary. The evaluation of the system is based on the performance during a change in solar irradiation. Using Matlab/Simulink, simulation results are assessed to see the efficiency of the system when it is operating at a specific speed or at the MPPT. The results show that an improvement in the system efficiency can be achieved when the PMDC motor is running at a specific speed rather than at the peak PV power point.
3
Zhang, Zi Kuan. "Modeling and Simulation of Sensorless Control of BLDC Motor Based on Submersible Pump." Applied Mechanics and Materials 312 (February 2013): 786–90. http://dx.doi.org/10.4028/www.scientific.net/amm.312.786.
Full textAbstract:
In this paper, modeling selects sensorless control of permanent magnet brushless DC motor in terms of work condition of submersible pump under water. Motor reduced by Hall sensor so that maintenance. Motor was controlled by state space and back EMF zero-crossing in Matlab/Simulink, and constitute total simulation system along with the other modules. Eventually, motor character was estimated in accordance with waveforms of simulation, which offers foundation for the design of actual motor control system.
4
Zhang, Liang, Bin Jiao, and Lei Li. "Modeling and Control Strategy of Series Hybrid Electric Vehicles." Applied Mechanics and Materials 543-547 (March 2014): 1246–49. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1246.
Full textAbstract:
The modeling method and control strategy for series hybrid electric vehicles were presented in this paper. Firstly, the system structure and operation principles are discussed systematically; and then a control strategy is proposed based on the modeling of powertrain. Control strategy focus on the multi-modes switch logic and power distribution. In the last part of this paper, the simulation made in MATLAB/Simulink was introduced, which results indicate that the model and control strategy are correct.
5
Yin, Yong Lan, Qing Gao, Bai Fa Zhu, and Ming Li. "Operating Modes of the Solar Assisted Drainwater System for Ground Source Heat Pump." Advanced Materials Research 171-172 (December 2010): 67–72. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.67.
Full textAbstract:
To extend the area in applications of solar heat pump and drainwater heat recovery, the gravity film exchanger was employed to establish the solar assisted drainwater heat pump system. In this paper, two gravity film exchangers were assembled in the hybrid heat pump system to discuss the effect of water distribution ratio in two exchangers on the electric power complement and outlet water temperature of the condenser. The technology of Matlab/Simulink was used in modeling and simulations of the system by the performance curves and performance parameters of the corresponding system components. In the designing processes, the dynamic characteristics can be predicted, and the optimal operating conditions can also be concluded that appropriate water distribution ratio should be selected respectively for higher outlet temperature of the condenser or lower electric power complement.
6
Sharma, Shivam, and Durgesh Kumar. "Modeling of Photovoltaic Based Grid-Tied System." International Journal of Advance Research and Innovation 2, no. 2 (2014): 103–11. http://dx.doi.org/10.51976/ijari.221415.
Full textAbstract:
Energy consumption in world is now increasing substantially. Increasing scarcity and rising prices of fossil fuels may lead to economic instability. Continuously increasing in energy consumption will overloads the distribution grids as well as the power stations, therefore imposing a negative impact on power availability, security and quality. One of the solutions for overcoming this is use of renewable energy resources. The energy generation from PV based Grid-Tied System is highly intermittent in nature and shows wide variation because of continuous fluctuations in solar radiation intensity, temperature and unpredictable weather conditions (e.g. clouds, snow, wind, etc.). This poses a major challenge for the designers of grid connected PV systems for its applications. One of the major problems is the increase in the Total Harmonic Distortion (THD) of current injected into the grid. In this paper basic theory of grid connected photovoltaic system and proposes a new scheme for Total Harmonic Distortion (THD) improvement in grid connected Photovoltaic (PV) systems. A hysteresis current control method is introduced in this paper which is providing a PV system with reduced harmonics at the output. This Logic control can be used to improve the THD in grid connected PV systems. The whole system is modeled on MATLAB/SIMULINK. The Simulation results are given to show the overall system performance.
7
LI, Ya Liang, Fei Zhao, and Zhi Rui Liang. "Modeling Simulation of Single-Phase Arc Grounding in Neutral Un-Effectual Grounding Power System Based on Matlab." Applied Mechanics and Materials 602-605 (August 2014): 3017–20. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3017.
Full textAbstract:
Generally in China, the power distribution networks below 35kV level are Neutral un-effectual grounding systems. Single-phase electric arc grounding failure takes up the majority of neutral un-effectual grounding power system failures. However, it is a very complex process to deal with arc fault so that establishing a mathematical model for arc becomes challenging. Matlab Simulink was hence utilized to establish arc simulation model. Comparisons were made between the ideal wave form and the result based on the single phase arc grounding fault simulation to test the validity of the model, which shows good consistency.
8
Nie, Hong Zhan, Ming Zhang, and Hong Shen. "Modeling and Simulation of Oscillating Water Column Wave Energy Generator." Advanced Materials Research 610-613 (December 2012): 2525–29. http://dx.doi.org/10.4028/www.scientific.net/amr.610-613.2525.
Full textAbstract:
This paper focuses on the oscillating water column (OWC) wave energy generator. An overall mathematical model is established comprising of the wave energy capture, drive system, permanent magnet synchronous generators (PMSG), vector control, maximum power point tracking (MPPT), and low voltage ride through (LVRT) control. With this mathematical model, an OWC wave energy generator based on PMSG simulation model is set up in Matlab/Simulink environment. A simulation analysis of the model is carried out which is connected to the grid under the condition of wave changes and power system faults. The simulation facilitates the MPPT and the decoupling control of power for OWC wave energy generator. Results show that the system with back-to- back PWM converter operates in a satisfying way and the model established works correctly and effectively.
9
Anang, Nurhazwani, Mohammad Safwan AB Hamid, and Wan Mariam Wan Muda. "Simulation and Modelling of Electricity Usage Control and Monitoring System using ThingSpeak." Baghdad Science Journal 18, no. 2(Suppl.) (June 20, 2021): 0907. http://dx.doi.org/10.21123/bsj.2021.18.2(suppl.).0907.
Full textAbstract:
Renewable energy technology is growing fast especially photovoltaic (PV) system to move the conventional electricity generation and distribution towards smart grid. However, similar to monthly electricity bill, the PV energy producers can only monitor their energy PV generation once a month. Any malfuntion in PV system components may reduce the performance of the system without notice. Thus, developing a real-time monitoring system of PV production is very crucial for early detection. In addition, electricity consumption is also important to be monitored more frequently to increase energy savings awareness among consumers. Hardware based Internet-of-Thing (IoT) monitoring and control system is widely used. However, the implementation of the actual smart grid system is high in cost. Thus, simulation and modelling of the system is important to see the capability of the actual system before being employed. Since the smart grid and its components are usually modeled using MATLAB/Simulink, the communication between MATLAB/Simulink, IoT platform such as ThingSpeak and mobile application is crucial to be explored to gain a better understanding of the features of the smart grid. To achieve the objectives, there are five main steps which are simulation of grid-connected photovoltaic (PV) system to generate data to be monitored and controlled using HOMER software, then, development of monitoring on ThingSpeak and mobile application using MIT App Inventor 2. Next, the control system is developed on mobile application and the communication on how data are transferred between all the softwares are set up. The results show that all the seletected parameters can be monitored in real-time successfully. The developed mobile application can be used to control the MATLAB/Simulink in two modes. During automatic mode, ThingSpeak controls the MATLAB/Simulink by giving a zero signal (OFF) if load demand is less than the power generated by PV and a one signal (ON) if the load demand is greater than PV power. During manual mode, consumer can send ON or OFF signal to MATLAB/Simulink via the mobile application unconditionally. It is hoped that the proposed system will bring many benefits in modeling a complete smart grid system in MATLAB/Simulink.
10
Zhang, Yong Sheng, and Yun Yi Ma. "Research on Fuzzy Control System of the Water Level for Steam Generator." Advanced Materials Research 383-390 (November 2011): 4184–88. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.4184.
Full textAbstract:
In order to improve the control quality of the water level for steam generator, a fuzzy level controller for steam generator is designed based on the fuzzy logic principle. The fuzzy logic toolbox and Simulink module of Matlab software are used for the modeling of the water level control system of steam generator. The operating condition of reducing load is calculated. Simulation result shows that the fuzzy control has such virtues as smaller overshoot, shorter regulating time and stronger robustness than the conventional three-element PID control. Fuzzy control is especially effective for nonlinear system like steam generator with multivariable, large time lagged and strong coupling. It is a very effective control method with widely application prospect.
Dissertations / Theses on the topic "Water Distribution System - Matlab/Simulink Based Modeling"
1
Rai, Pawan Kumar. "Development And Control Of Urban Water Network Models." Thesis, 2010. https://etd.iisc.ac.in/handle/2005/2271.
Full textAbstract:
Water distribution systems convey drinking water from treatment plant and make available to consumers’ taps. It consists of essential components like pipes, valves, pumps, tanks and reservoirs etc. The main concern in the working of a water distribution system is to assure customer demands under a choice of quantity and quality throughout the complete life span for the probable loading situations. However, in some cases, the existing infrastructure may not be adequate to meet the customer’s requirements. In such cases, system modeling plays an important role in proper management of water supply systems. In present scenario, modeling plays a significant task in appropriate execution of water distribution system.
From the angle of taking management decisions valve throttling control and pumps speed control are very important. These operational problems can be addressed by manual control or by automatic control. The problem is the use of manual controls that slow down the effectiveness of the system. It reduces the efficiency of operation of valve or pump. To improve the efficiency of such water distribution systems, an automatic control based technology has been developed that links the operation of the variable speed pump control or valve throttling control. By employing an automatic control, the pump can adjust its speed at all times to meet the actual flow requirements of each load served.
In case of real system design Simulink is the most widely used tool. Commercial software package Matlab/Simulink used for creation of WDS model. The goal was to produce a model that could numerically analyze the dynamic performance of a water distribution system. A Comparison of single platform methodology (Simulink based control) and double platform methodology (Matlab and EPANET based control) has been done. Nonlinear Dynamic Inversion (DI) Control system model is developed for WDS model in Matlab/Simulink environment. Controller gain parameters are the very important value in control prospective. If the controller gain parameters are chosen incorrectly, the controlled process input can be unstable, i.e. its output diverges, with or without oscillation Tuning is the adjustment of control parameters (gains) to the optimum values for the desired control response. There are several methods for tuning controller like manual tuning (Trial and error procedure), Ziegler-Nichols method, Output Constraint Tuning (OCT) etc.
Establishment of a pump operational policy by which all the reservoirs can be fed simultaneously to meet their requirements without creating undue transients. Tune the gain of DI controllers by different tuning methods and evaluate the best tuning method on the basis of controller performance. Development of meaningful additional objective is search of lower bound pump speed on the basis of control time or settling time. To bring the pump speeds in feasible range, application of constraint in pumps speed is introduced. The magnitude of constraints can be found using Monte Carlo methods. Monte Carlo methods are frequently used in simulating physical and mathematical systems. This method may be the most commonly applied statistical method in engineering and science disciplines. Another benefit is providing increased confidence that a model is robust using Monte Carlo testing.
Model development for generalized control system for water distribution network provides the simplification needed for the simulation of large systems. Model development is based on the study of symmetric and non symmetric small, irregular networks, as well as large, regular and open bifurcating water distribution system. The problem considered in this section is that of flow dynamics in simple to complex, regular network which bifurcates in the form of a branching tree. In addition the control application of the flow network is investigated using valves as the manipulated variables to control branch flow rates. Communication between the network hydraulics coming from EPANET and control algorithm develop on Matlab (Programming Language) can be generalized with the help of development of general purpose control algorithm model.
2
Rai, Pawan Kumar. "Development And Control Of Urban Water Network Models." Thesis, 2010. http://etd.iisc.ernet.in/handle/2005/2271.
Full textAbstract:
Water distribution systems convey drinking water from treatment plant and make available to consumers’ taps. It consists of essential components like pipes, valves, pumps, tanks and reservoirs etc. The main concern in the working of a water distribution system is to assure customer demands under a choice of quantity and quality throughout the complete life span for the probable loading situations. However, in some cases, the existing infrastructure may not be adequate to meet the customer’s requirements. In such cases, system modeling plays an important role in proper management of water supply systems. In present scenario, modeling plays a significant task in appropriate execution of water distribution system.
From the angle of taking management decisions valve throttling control and pumps speed control are very important. These operational problems can be addressed by manual control or by automatic control. The problem is the use of manual controls that slow down the effectiveness of the system. It reduces the efficiency of operation of valve or pump. To improve the efficiency of such water distribution systems, an automatic control based technology has been developed that links the operation of the variable speed pump control or valve throttling control. By employing an automatic control, the pump can adjust its speed at all times to meet the actual flow requirements of each load served.
In case of real system design Simulink is the most widely used tool. Commercial software package Matlab/Simulink used for creation of WDS model. The goal was to produce a model that could numerically analyze the dynamic performance of a water distribution system. A Comparison of single platform methodology (Simulink based control) and double platform methodology (Matlab and EPANET based control) has been done. Nonlinear Dynamic Inversion (DI) Control system model is developed for WDS model in Matlab/Simulink environment. Controller gain parameters are the very important value in control prospective. If the controller gain parameters are chosen incorrectly, the controlled process input can be unstable, i.e. its output diverges, with or without oscillation Tuning is the adjustment of control parameters (gains) to the optimum values for the desired control response. There are several methods for tuning controller like manual tuning (Trial and error procedure), Ziegler-Nichols method, Output Constraint Tuning (OCT) etc.
Establishment of a pump operational policy by which all the reservoirs can be fed simultaneously to meet their requirements without creating undue transients. Tune the gain of DI controllers by different tuning methods and evaluate the best tuning method on the basis of controller performance. Development of meaningful additional objective is search of lower bound pump speed on the basis of control time or settling time. To bring the pump speeds in feasible range, application of constraint in pumps speed is introduced. The magnitude of constraints can be found using Monte Carlo methods. Monte Carlo methods are frequently used in simulating physical and mathematical systems. This method may be the most commonly applied statistical method in engineering and science disciplines. Another benefit is providing increased confidence that a model is robust using Monte Carlo testing.
Model development for generalized control system for water distribution network provides the simplification needed for the simulation of large systems. Model development is based on the study of symmetric and non symmetric small, irregular networks, as well as large, regular and open bifurcating water distribution system. The problem considered in this section is that of flow dynamics in simple to complex, regular network which bifurcates in the form of a branching tree. In addition the control application of the flow network is investigated using valves as the manipulated variables to control branch flow rates. Communication between the network hydraulics coming from EPANET and control algorithm develop on Matlab (Programming Language) can be generalized with the help of development of general purpose control algorithm model.
Conference papers on the topic "Water Distribution System - Matlab/Simulink Based Modeling"
1
Sampath, V., R. Mohan, S. Wang, L. Gomez, O. Shoham, and J. Marrelli. "Intelligent Control of Compact Multiphase Separation System (CMSS©)—Part I: Modeling and Simulation." In ASME 2009 Fluids Engineering Division Summer Meeting. ASMEDC, 2009. http://dx.doi.org/10.1115/fedsm2009-78422.
Full textAbstract:
Performance of compact separators depends on implementation of stable and robust control strategies that are suited for specific applications. In this investigation, an intelligent control system has been developed for Compact Multiphase Separation System (CMSS©) which consists of integrated configurations of three compact separators, namely, Gas-Liquid Cylindrical Cyclone (GLCC©), Liquid-Liquid Cylindrical Cyclone (LLCC©) and Liquid-Liquid Hydrocyclone (LLHC). This is a two-part paper, the first part (current paper) deals with the Modeling and Simulation of the CMSS© and the second part deals with Experimental Investigation. The specific objective of this CMSS© configuration is to knock out free water from the upstream fluids. In mature oil fields, water handling poses a huge problem. Thus water knock out at the earliest stage helps in significant cost savings. A novel fuzzy logic control system has been designed and tested for change in set-point of differential pressure ratio in LLHC. Dynamic models have been developed for each of the above mentioned control systems for design of stable PID parameters. A dynamic simulation platform (DSP) has been developed based on these models in Matlab/Simulink™ for predicting the transient performance of the integrated system. Steady state mechanistic models of individual devices are integrated to the Matlab/Simulink™ platform using look up tables to predict the overall response of the CMSS© for different scenarios.
2
Wang, Haomin, and Xinyu Wei. "Modeling and Simulation of a Pressurized Water Reactor Nuclear Power Plant and Power System." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-91413.
Full textAbstract:
Abstract As the proportion of nuclear power in the power grid continues to increase, for the safe, stable, and economical operation of the power system, nuclear power plants must participate in the peak shaving operation of the power system. Therefore, it is very important to study the impact of the power system on nuclear power plants. In this paper, a nonlinear dynamic model of a pressurized water reactor (PWR) is built on the MATLAB/Simulink simulation platform. The model includes the point kinetics reactor core model, the thermal-hydraulics model, the piping & plenum model, the steam generator module, the reactivity module, the sensor model and the turbine module, in addition to the governor module and the simulation model of the power system. Based on the established dynamic model of nuclear power plant and an island power system module, the response of the model was tested under load variations. There are often some short circuit faults in the power system. To verify the stability of the model, the impact of the single-phase-to-ground fault in the power system on the nuclear power plant is analyzed. In this paper, the nuclear power plant can maintain stable operation in the event of a transient failure in the power system.
3
Sun, Peiwei, Huanhuan Zhao, and Jianmin Zhang. "Small Pressurized Water Reactor (SPWR) Simulation Platform Development for its Design Verification." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-66730.
Full textAbstract:
Small pressurized water reactors (SPWRs) are under development in the world. Lots of efforts have been made to the Research & Development. SPWR has its unique design features. The integral design is adopted. The reactor, coolant pump and steam generator are in the reactor vessel. The coolant inventory is large. Once-through steam generator is chosen. The pressurizer is also large in the volume. Because many years operation experiences of commercial PWRs, some old operation strategies may be modified or new strategies are derived for the new development. When the operation strategies are chosen, a simulation platform is needed to verify whether they are suitable for SPWRs. In this paper, an SPWR simulation platform is developed to verify the operation strategies of SPWR. The platform is developed based on an engineering simulator and Relap5 has been integrated in the simulator. Operation transient or accident scenarios can be simulated with the simulator. To improve the operation flexibility and implementation of control logics, the engineering simulator is couple with MATLAB/Simulink using shared memory technology. Shared memory is an efficient means of passing data between programs. The dynamic data exchange and simulation time synchronization methods are carefully treated. To verify the platform, an SPWR with its control system is modeled with the platform and the simulator. The thermal-hydraulic modeling of the SPWR is carried out using Relap5. The preliminary SPWR control system is designed with conditional proportional-integral-derivative (PID) controllers and implemented in MATLAB/Simulink. Abrupt load changes are simulated to evaluate the performance of the platform. The results obtained from two different platforms match well with each other. It is proved that the coupling is successfully and the platform can simulate the transient behavior of the SPWR with its control system.
4
Qiu, Leilei, Xinyu Wei, Peiwei Sun, and Shengyong Liao. "Study on the Dynamic Modeling of the Micro-High Temperature Gas Cooled Reactor for Control System Design." In 2021 28th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/icone28-64455.
Full textAbstract:
Abstract The micro-high temperature gas cooled reactor (Mi-HTR) uses Tri-structural iso-tropic (TRISO) particle as fuel, helium gas as coolant, and graphite as moderator and structural material. The reactor adopts complete passive residual heat removal technology and is inherent security. The usage of the Mi-HTR is megawatt-level micro nuclear power plant. Because of the using of hexagonal prism graphite core, the dynamic characteristics of the Mi-HTR are different from large scale high temperature gas cooled reactors and pressurized water reactors. Therefore, the accurate and reliable reactor dynamic characteristics analysis are of significance for the design of the Mi-HTR control system. The neutron kinetics model of the Mi-HTR is built based on the point reactor kinetics with the reactivity feedback mechanism. The core thermal-hydraulic model of the Mi-HTR is built based on the fundamental conservation laws. By coupling the two models, a lumped-parameter model of the Mi-HTR is established. In order to obtain an accurate transfer function model for subsequent control system design, the mechanism model is linearized based on perturbation theory, and then the transfer function model with different inputs and outputs is obtained through Laplace transform. The developed nonlinear model is implemented on MATLAB/Simulink. By introducing a variety of disturbances, the simulation results of transient responses are presented, which show that the static precision of the dynamic model is satisfactory, and the trend of the transient responses is consistent with the physical laws. The obtained transfer function model and the nonlinear model are introduced with the same disturbances, and the simulation results show that the responses of transfer functions are consistent with those of the nonlinear model. Therefore, the transfer function model can be utilized to control system design for the Mi-HTR.
5
Cooper, Jared, David Klyde, Dr DeVore, and Adam Reed. "Handling Quality Analysis and Control Design using Polynomial Chaos Model-based Uncertainty Methods." In Vertical Flight Society 75th Annual Forum & Technology Display. The Vertical Flight Society, 2019. http://dx.doi.org/10.4050/f-0075-2019-14596.
Full textAbstract:
This article demonstrates application of a probabilistic analysis facility called AURA to rotary-wing control and handling-qualities problems. It is based on a Generalized Polynomial Chaos approach to compute and reason over probabilistic quantities. The AURA software has interfaces to both SIMULINK and MATLAB and bindings to other programming languages. It can model arbitrary random distributions and has the potential to fully represent the effects of the uncertainty with a single simulation run. Modeling and analyzing rotorcraft flight dynamics, handling-qualities, performance, structural loads, and design requires sophisticated tools to capture the complex physical phenomena germane to their operation. Present and future rotorcraft operational requirements demand the vehicles perform in new and increasingly austere environments. In the design and maintenance of such complex systems, there are associated uncertainties from either internal processes or environmental factors that affect the performance and stability of the system. Traditionally, uncertainties are treated as Gaussian random variables and their impact assessed using Monte Carlo techniques. This approach has proven successful but requires numerous simulation runs and approximations regarding the true distribution of the uncertainty, and there is no guarantee that Monte Carlo techniques provide comprehensive coverage of the uncertainty space. AURA is designed to help bridge these gaps in an environment that treats arbitrary random sources in an intuitive manner. This article briefly outlines the approach and demonstrates applications to rotorcraft control and handling-qualities analysis.
6
Wang, Pengfei, Huawei Fang, Zhao Wang, Shoujun Yan, Jiashuang Wan, and Fuyu Zhao. "Development of a Fast Simulation Program for AP1000 Reactor With Application of Mechanical Shim (MSHIM) Control Strategy and Nodal Method." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30373.
Full textAbstract:
The Mechanical Shim (MSHIM) core control strategy makes use of two independently controlled rod groups to provide fine control of both core reactivity and axial power distribution. This paper presents a reactor core fast simulation program (RCFSP) for AP1000 using MATLAB/SIMULINK. A nodal core model including xenon iodine dynamics is used to describe the core thermal power transient with the two group neutron diffusion equation for neutron kinetics modeling and an integral method for thermal-hydraulic calculation. Two closed loop rod controllers with implementation of the MSHIM core control strategy are developed to modulate the insertion of control rods. Based on the developed RCFSP, the MSHIM load follow operations with the original and revised MSHIM control strategies and two typical MSHIM load regulation operations with ten-percent step load change and five-percent per minute ramp load change are simulated. Results of these MSHIM operations demonstrate that the core reactivity and axial power distribution can be well-controlled via automatic rod control only. It has also been demonstrated that the MSHIM capabilities provided by the original MSHIM strategy are not diminished by the revised one. Moreover, the M-bank insertion for the original strategy is much deeper than that for the revised one. Thus, the power distribution perturbations associate with the M-bank movement for the revised strategy are not as pronounced as those for the original one during load change transients, which helps to alleviated peaking factor concerns associated with the control rod insertion. In view of its accuracy, simplicity and fast computation speed, the developed RCFSP can be used for dynamic simulations and control studies of the AP1000 reactor with application of MSHIM control strategy. With the adoption of modular programming techniques, the RCFSP code can be easily modified and applied to other pressurized water nuclear reactors that employs separate, independent control rod banks for respectively controlling core reactivity and axial offset within corresponding deadbands.
7
Upadhyaya, B. R., S. R. P. Perillo, X. Xu, and F. Li. "Advanced Control Design, Optimal Sensor Placement, and Technology Demonstration for Small and Medium Nuclear Power Reactors." In 17th International Conference on Nuclear Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/icone17-75343.
Full textAbstract:
The efficient and safe performance of nuclear power plants of the future requires remote monitoring, control, and condition-based maintenance in order to maximize their capacity factor. Small and medium reactors, in the 50–500 MWe power range, may become commonplace for certain applications, with a design features for remote deployment. Such a reactor may be part of a smaller electrical grid, and deployed in areas with limited infrastructure. Typical applications include power generation, process heat for water desalination, and co-generation. There are other considerations in the deployment of these reactors: development of effective I&C to support nuclear fuel security monitoring, longer than normal fuel cycle length, and increased autonomy in plant operation and maintenance. A Model Predictive Controller (MPC) for the IRIS (International Reactor Innovative and Secure) system has been developed as a multivariate control strategy for reactor power regulation and the control of the helical coil steam generator (HCSG) used in IRIS. A MATLAB-SIMULINK model of the integral reactor was developed and used to demonstrate the design of the MPC. The two major control actions are the control rod reactivity perturbation and the steam control valve setting. The latter is used to regulate the set point value of the superheated steam. The MPC technique minimizes the necessity of on-line controller tuning, and is highly effective for remote and autonomous control actions. As an important part of the instrumentation & control (I&C) strategy, sensor placement in next generation reactors needs to be addressed for both control design and fault diagnosis. This approach is being applied to the IRIS system to enhance the efficiency of reactor monitoring that would assist in a quick and accurate identification of faults. This is achieved by solving the problem from the fault diagnosis perspective, rather than treating the sensor placement as a pure optimization problem. The solution to the problem of sensor placement may be broadly divided into two tasks: (1) fault modeling or prediction of cause-effect behavior of the system, generating a set of variables that are affected whenever a fault occurs, and (2) use of the generated sets to identify sensor locations based on various design criteria, such as observability, resolution, reliability, etc. The proposed algorithm is applied to the design of a sensor network for the IRIS system using multiple design criteria. This enables the designer to obtain a good preliminary design without extensive quantitative information about the process. The control technique will be demonstrated by application to a real process with actuators and associated device time delays. A multivariate flow control loop has been developed with the objective of demonstrating digital control implementation using proportional-integral controllers for water level regulation in coupled tanks. The controller implementation includes self-tuning, control mode selection under device or instrument fault, automated learning, on-line fault monitoring and failure anticipation, and supervisory control. The paper describes the integration of control strategies, fault-tolerant control, and sensor placement for the IRIS system, and demonstration of the technology using an experimental control loop.