Research on the civil aero-engine modeling method oriented to control law design

The non-linear aero-thermal model of civil aero-engine established by the component method has the characteristics of complex structure and strong coupling of parameters, which is difficult to directly use in the design of control law. Aiming at the problem that civil aero-engine control law design is difficult, heavy workload, and can only be used for nominal point linearization model, a civil aero-engine modeling method oriented to control law design is proposed. Simplify the structure according to the aero-engine control function, and use rotor dynamics modeling and combustion reaction dynamics modeling to establish aero-engine control standard model in differential form, which establishes the corresponding relationship of the parameters required for the control of the aero-engine full envelope. With this control standard model, the nonlinear control method can be directly used in the design of the aero-engine control law, which reduces the workload and difficulty of the control law design to certain extent. The control standard model is established by taking DGEN380 aero-engine as an example, whose accuracy is verified through experiments, and an example of the control law design is given. The civil aviation engine modeling method oriented to control law design has achieved the expected goal.

SPATIAL MODELING OF THE THREAT OF DAMAGE TO THE PEATLAND ECOSYSTEM IN THE MAINLAND OF BENGKALIS REGENCY, RIAU PROVINCE

Peatlands are the stretch of ecosystem landscape with unique characteristics, both physically, chemically, and biodiversity. Anthropogenic activities in peatland use and disasters pose a threat to the preservation of the peatland ecosystem, which has impacts toward abiotic to the element of biodiversity (biotic). The purpose of this research is to model how the threat of the peatland ecosystem by using spatial data modeling. The method in this research using cloud-based GIS data analysis from Google earth engine, modeling distance parameter to variable modeling of interaction among landscapes on the peatland, and weight sum the value over raster-based spatial layer to determinate the thereat in the peatland ecosystem. The results of this study found zones where hot spots often occur. Modeling with euclidean distance to all modeling variables (except temperature) gives a clear effect on how the threats from each landscape interact with each other. We found that the threat of peatland damage in the high threat class dominates the plantation area reaching 30.9% of the total peatland area, whereas the forest landscape only has a high threat with a percentage of 1.9% and a low threat which the ecosystem is stable and natural reaching over 34.7 %. From this model, we succeeded in bringing up the idea to determine the priority area for policies where need to be done in handling the protection of peatland ecosystems, especially in plantations where the highest percentage of the ecosystem threat is in the high level with integrated peatland management. Keywords: Peatland ecosystem, landscape, threat

Internal Combustion Engine Modeling Framework in Simulink: Gas Dynamics Modeling

With advancements in computer-aided design, simulation of internal combustion engines has become a vital tool for product development and design innovation. Among the simulation software packages currently available, MATLAB/Simulink is widely used for automotive system simulations, but does not contain a comprehensive engine modeling toolbox. To leverage MATLAB/Simulink’s capabilities, a Simulink-based 1D flow engine modeling framework has been developed. The framework allows engine component blocks to be connected in a physically representative manner in the Simulink environment, reducing model build time. Each component block, derived from physical laws, interacts with other blocks according to block connection. In this Part 1 of series papers, a comprehensive gas dynamics model is presented and integrated in the engine modeling framework based on MATLAB/Simulink. Then, the gas dynamics model is validated with commercial engine simulation software by conducting a simple 1D flow simulation.

Turbulent Reactive Flow Modeling in Engines: Simulating Engine Dynamics Using fearce

The Los Alamos turbulent reactive flow researchers, our modelers, and simulation code developers have succeeded in providing the engine research and development community an encompassing, robust, accurate, and easy-to-use software for engine modeling or simulations. This software is now known as the fearce Toolkit. In this paper, we discuss the physics present in the engine by discussing the methods we have employed to solve the model equations within the toolkit. Provided is background on what has been developed recently at LANL for internal combustion engine modeling.