Development of Morphogenesis Model-Based Dynamic Growth System in Greenhouse Muskmelon

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.

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.

Dynamic Control Design and Simulation of Biogas Pressurized Water Scrubbing Process

This paper introduces the Marine Electric Propulsion Dynamic Load Simulation System, and puts forward a new type ARM+DSP embedded system to implement the screw load dynamic simulation, which is the vital part of this real-time HIL simulation system. Hardware and software of ARM+DSP embedded system, as well as some problems in practical implementation and corresponding solutions are discussed in detail. Some simulation experiment results produced by the simulation system are also shown in the paper.

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.

Discrete dynamic simulation models and technique for complex control systems

Discrete Event Simulation (DEVS) is a widely used approach for modelling and simulation of dynamic discrete systems. The modern object-oriented DEVS world view regards active objects (entities) passing passive objects (stations) along given path. An event mechanism updates movement of entities, being capable also of collisions and other state-dependent phenomena. Consequently; DEVS can be used for simulation of pedestrian and evacuation dynamics. Classical straightforward modelling approaches, based on abstract classical queuing systems, do not take into account the spatial distributions primarily — only for animation a spatial component is used. But modern object-oriented tools allow modelling of a spatial distribution primarily by means of topological attributes as well in active and passive objects at the modelling level. This contribution discusses the “spatial” features of DEVS simulation systems The chosen simulation tool, Enterprise Dynamics, offers a high flexibility due to its programming language 4d script that allows adding further functionality to the provided elements as well as creating completely new ones.

The dynamic simulation system of a pantograph and a catenary has been built by using the finite element method, in which the pantograph is equivalent to a three-mass-damper-stiffness system and the catenary contains only cable and beam elements. Considering droppers as nonlinear elements only stressed by tension, a sliding contact model of the pantograph and catenary is coupled by penalty function. Nodal displacement and element stress can be obtained by direct time integration. Finally, the contact force and deformation of the pantograph and catenary is achieved by entering the parameters in standards and from the actual Wuhan–Guangzhou high-speed railway into this simulation system. When comparing the standards, commercial software and measured data, the credibility of the simulation system can be verified. This simulation system provides an efficient way for the design and structure optimization of a pantograph and catenary system.

Dynamic system simulation of small satellite projects

This paper proposes a neuro-network-based method for modelreduction that combines the generalized Hebbian algorithm (GHA) with theGalerkin procedure to perform the dynamic simulation and analysis ofnonlinear microelectromechanical systems (MEMS). An unsupervised neuralnetwork is adopted to find the principal eigenvectors of a correlationmatrix of snapshots. It has been shown that the extensive computer resultsof the principal component analysis using the neural network of GHA canextract an empirical basis from numerical or experimental data, which canbe used to convert the original system into a lumped low-order macromodel.The macromodel can be employed to carry out the dynamic simulation of theoriginal system resulting in a dramatic reduction of computation timewhile not losing flexibility and accuracy. Compared with other existingmodel reduction methods for the dynamic simulation of MEMS, the presentmethod does not need to compute the input correlation matrix in advance.It needs only to find very few required basis functions, which can belearned directly from the input data, and this means that the methodpossesses potential advantages when the measured data are large. Themethod is evaluated to simulate the pull-in dynamics of a doubly-clampedmicrobeam subjected to different input voltage spectra of electrostaticactuation. The efficiency and the flexibility of the proposed method areexamined by comparing the results with those of the fully meshedfinite-difference method.

A realization of a DDA system for continuous dynamical system simulation with a universal multimicroprocessor system “HARPS”

This study proposes targeted policy strategies to phase out mercury thermometers, especially in developing regions, under the Minamata Convention on Mercury. By integrating a tripartite evolutionary game framework with system dynamics simulation, it examines the decision-making behaviors of government agencies, manufacturing enterprises, and consumers. The methodology involves six steps: player selection, assumption formulation, payoff determination, dynamic equation construction, stability analysis, and system dynamics simulation. Key parameters-such as fines, subsidies, and production costs-are defined using a combination of empirical data and theoretical assumptions. Framed within an environmental governance and pollution control framework, the model captures the mercury thermometer industry's transition from widespread adoption to gradual decline amid rising health and environmental concerns. By incorporating policy-driven transition logic, the research traces the mercury thermometer industry's evolution from widespread use to decline amid rising health concerns. The findings highlight government's central role through policy tools-such as market price adjustments, penalties, and subsidies-that can effectively eliminate mercury thermometers. Notably, reducing the price gap between mercury and alternative products, coupled with significant consumer subsidies, proves more effective in driving consumer choices and prompting manufacturers to embrace mercury-free production than imposing heavy fines. These measures are pivotal for advancing the adoption of safer, mercury-free thermometers and reducing associated public health risks.

This project is part of a research effort to design a hydrogen plant and its interface with a nuclear reactor. This project developed a dynamic modeling, simulation and optimization environment for nuclear hydrogen production systems. A hybrid discrete/continuous model captures both the continuous dynamics of the nuclear plant, the hydrogen plant, and their interface, along with discrete events such as major upsets. This hybrid model makes us of accurate thermodynamic sub-models for the description of phase and reaction equilibria in the thermochemical reactor. Use of the detailed thermodynamic models will allow researchers to examine the process in detail and have confidence in the accurary of the property package they use.

The increased availability of data and computer-aided technologies such as MRPI/II, ERP and MES system, allowing producers to be more adaptive to market dynamics and to improve production scheduling. Integration of production scheduling and computer modelling, simulation and visualization systems can be useful in the analysis of production system constraints related to the efficiency of manufacturing systems. A integration methodology based on semi-automatic model generation method for eliminating problems associated with complexity of the model and labour-intensive and time-consuming process of simulation model creation is proposed. Data mapping and data transformation techniques for the proposed method have been applied. This approach has been illustrated through examples of practical implementation of the proposed method using KbRS scheduling system and Enterprise Dynamics simulation system.

An ECU hardware-in-loop simulation system for electronic-controlled engine in better real-time and augmentability is built. We establish a dynamic average model of the electronic-controlled engine and put emphasis on analysing its fuel and oil slick modelmass flow model of intake manifold air and the sub-model of inlet manifold pressure. The engine model has fewer parameters and lower orders in order to adjust and set parameters; We propose a building program based on virtual instrument technology and adopts the chip TMS320F2812-DSP to design a signal interface system used to achieve the simulation for sensor signal and the collection of ECU output signal. Through the verification of simulating experimental data, it's proved that the established model of electronic-controlled engine has suitable steps and good real-time performance, building a good foundation for further experimental design and research in the future.