Academic literature on the topic 'SIMSCAPE Simulation Language'

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Journal articles on the topic "SIMSCAPE Simulation Language"

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Li, Qi, Wen Bin Zhang, Ping Li, Shi Su, Yu Ting Yan, and Yang Yang. "On the Research of Identification Methods for Supercapacitor Model Parameters." Applied Mechanics and Materials 740 (March 2015): 499–502. http://dx.doi.org/10.4028/www.scientific.net/amm.740.499.

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The accuracy of model becomes increasingly demanding in the simulation system with the development of supercapacitor. The traditional methods of parameters identification in supercapacitor modeling are very complicated. This paper presents an easy and new method by the Simulink tool. The experimental data for the identification of the model parameters was obtained through the constant charge-discharge experiments. Then the variable capacitor of the supercapacitor equivalent circuit model was modeled in Simscape Language, so parameters directly got with Parameter estimation in Sumulink. Simulation results were presented and compared experimental data. And the result showed that the new method was not only speeded the identification of parameters, but also improved the modeling precision up to 98%.
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Park, Cheol-Gyu, Seungjin Yoo, Hyeonsik Ahn, Jooho Kim, and Daeyoung Shin. "A coupled hydraulic and mechanical system simulation for hydraulic excavators." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 4 (2019): 527–49. http://dx.doi.org/10.1177/0959651819861612.

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The hydraulic system of an excavator consists of a central hydraulic power source and multiple actuator circuits. The numerical stiffness of the hydraulic system model, the complex hydraulic circuits of the excavator, and the coupling of the dynamics associated with the hydraulic system and mechanical manipulator have been major barriers to developing a real-time simulation. This article presents a coupled dynamic model of a large-sized excavator and a real-time simulation environment. A modeling approach for simulation speed while maintaining the essential features of the hydraulic system is described. The hydraulic circuit models are coded using the MathWorks Simscape Language that gives flexibilities for modeling and modularization. To make the simulation real-time capable and accurate, the entire model is divided into multiple sub-models for parallel execution, a local stiff integration solver is applied to the hydraulic sub-models, and a deliberately devised execution order is assigned to the groups of sub-models. The simulation results show good correspondence with the test results.
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Khan, Muhammad, Ali Kazim, Ghulam Uddin, et al. "Thermoelectric waste heat recovery of an automotive IC engine using (Na, K) co-doped polycrystalline tin selenide (SnSe)." Thermal Science, no. 00 (2020): 300. http://dx.doi.org/10.2298/tsci200620300k.

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Recent developments in converting the thermal energy of exhaust gasses of automobiles into electric power directly, require an extensive simulation and design of appropriate thermoelectric generation system. This work aims to create a physical model of engine exhaust system using Simscape language to simulate waste heat recovery from the exhaust gasses using (Na, K) co-doped polycrystalline tin selenide (SnSe) thermoelectric material. This particular material exhibits a high Seebeck coefficient and extremely low lattice thermal conductivity in power generation because of phonons scattering by the rattlers (Na, K atoms) and Nano-structuring. In the MATLAB/Simulink environment, a transient simulation is done for the recovery of waste heat from a 1.5 liters engine using these specific material-based thermoelectric modules. According to the results obtained, at the temperature gradient of 285 K across its sides, electrical power of 10.4 watts with a conversion efficiency of almost 5 percent is produced from one module. The total system output power was 477 watts at the exhaust gas inlet temperature of 900 K to the octagonal heat exchanger on which the modules are mounted.
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Tran, Duc Thien, Tien Dat Nguyen, Minh Khiem Tran, and Kyoung Kwan Ahn. "Development of a Hardware-in-the-Loop Platform for a Teleoperation Flexibility Robotic System." Applied Sciences 14, no. 5 (2024): 2207. http://dx.doi.org/10.3390/app14052207.

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A control method for a cable-driven robot in a teleoperation system is proposed using the hardware-in-the-loop (HIL) simulation technique. The main components of the teleoperated robotic system are a haptic device, also called a delta robot, and a cable-driven hyper-redundant (CDHR) robot. The CDHR manipulator has higher flexibility and multiple degrees of freedom (DOF), and, therefore, its inverse kinematics are complex. For this reason, the Jacobian method is used in place of the conventional method to calculate the inverse kinematics. Moreover, the two robots constituting the telerobotic system are different in terms of their mechanical structures and workspaces. Therefore, the position mapping method is applied to ensure that the two workspaces are utilized together. However, a singularity area appears when the mapping parameter is adjusted to expand the workspace. Therefore, a haptic algorithm is proposed to prevent the robot from moving into the singularity region and generate force feedback at the end-effector of the haptic device to warn the operator. Because experimental verification of this control strategy is difficult, the HIL technique is used for demonstration in this study to ensure stability and safety before implementation of the method at the experiment scale. The CDHR robot is designed using SolidWorks 2021. Then, the Simscape model is used to simulate the telerobotic system. In addition, the protocol between the haptic device and the laptop is programmed using C/C++ language to facilitate communication with the CDHR robot in MATLAB Simulink 2022a. A few trials are conducted to evaluate and demonstrate the effectiveness of the proposed method.
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Sedoni, R., P. E. Santangelo, D. Angeli, M. Romani, and L. Fioravanti. "An analytical model of evaporator performance under frosting conditions for lumped-parameter simulations of heat pumps." Journal of Physics: Conference Series 2940, no. 1 (2025): 012015. https://doi.org/10.1088/1742-6596/2940/1/012015.

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Abstract Enhancing the energy efficiency of HVAC systems is crucial for meeting the nZEB standards. This involves developing analytical models for simulating building-system dynamics over time with low computational resources. However, existing models struggle with accuracy in heating mode due to evaporator frosting, a factor not usually accounted for commercial software. To address this, a new heat exchanger block that accurately models frosting and its impact on system performance is developed using the Simscape™ language in Simulink® environment. This innovative block enhances the predictive capability of heat-pump simulations that use a lumped-parameter approach, ensuring compatibility and easy integration with existing toolboxes. The improved model overcomes conventional limitations, offering reliable simulations in heating mode and providing insights into energy transport and efficiency. Incorporating accurate frosting representation aids in developing more effective defrost strategies, minimizing energy losses and improving compliance with energy efficiency standards.
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J., Fernandez de Canete. "Object-Oriented Programming for Modeling and Simulation of Systems in Physiology." March 1, 2015. https://doi.org/10.5281/zenodo.1100258.

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Object-oriented modeling is spreading in current simulation of physiological systems through the use of the individual components of the model and its interconnections to define the underlying dynamic equations. In this paper we describe the use of both the SIMSCAPE and MODELICA simulation environments in the object-oriented modeling of the closed loop cardiovascular system. The performance of the controlled system was analyzed by simulation in light of the existing hypothesis and validation tests previously performed with physiological data. The described approach represents a valuable tool in the teaching of physiology for graduate medical students.
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BOZTAŞ, Güllü. "Comparative Modelling and Experimental Verification of a PMSM Drive System." European Journal of Technic, June 26, 2022. http://dx.doi.org/10.36222/ejt.1101838.

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This paper presents a comparative study on two simulation and an experimental models for a Permanent Magnet Synchronous Motor (PMSM) drive system. A realistic modelling and simulation of a PMSM drive system is very useful before developing an experimental study. In particular, analyzing the performance of the motor drive and control algorithm in a simulation environment provides many advantages. The motor and drive system can be tested by using a simulation environment with various realistic scenarios in order to reduce testing costs and time span. Therefore, a comparative simulation study was performed in this study to show the simulation results similarity with real application results. Three PMSM drive systems were modelled by using MATLAB environment based on SimPowerSystems, Simscape Electrical, and based C-language. All models and experimental system were operated under the same conditions. These models were compared with each other and verified with an experimental system. The waveforms were analyzed comparatively such as current, speed, mechanical position of the motor.
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Shen, Yuanyuan, Yanji Wei, Reinoud P. H. Bokkers, Maarten Uyttenboogaart, and J. Marc C. Van Dijk. "Patient-Specific Cerebral Blood Flow Simulation Based on Commonly Available Clinical Datasets." Frontiers in Bioengineering and Biotechnology 10 (March 4, 2022). http://dx.doi.org/10.3389/fbioe.2022.835347.

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Cerebral hemodynamics play an important role in the development of cerebrovascular diseases. In this work, we propose a numerical framework for modeling patient-specific cerebral blood flow, using commonly available clinical datasets. Our hemodynamic model was developed using Simscape Fluids library in Simulink, based on a block diagram language. Medical imaging data obtained from computerized tomography angiography (CTA) in 59 patients with aneurysmal subarachnoid hemorrhage was used to extract arterial geometry parameters. Flow information obtained from transcranial Doppler (TCD) measurement was employed to calibrate input parameters of the hemodynamic model. The results show that the proposed numerical model can reproduce blood flow in the circle of Willis (CoW) per patient per measurement set. The resistance at the distal end of each terminal branch was the predominant parameter for the flow distribution in the CoW. The proposed model may be a promising tool for assessing cerebral hemodynamics in patients with cerebrovascular disease.
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Schwär, Florian, and Axel Kauffmann. "A viscoelastic–viscoplastic modeling approach for amorphous polymers in vacuum forming simulation." Journal of Applied Polymer Science, January 2, 2024. http://dx.doi.org/10.1002/app.55054.

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AbstractIn this study, the simulation of a vacuum forming process employing a micromechanical inspired viscoelastic–viscoplastic model is investigated. In the vacuum forming process, a plastic sheet is heated above the glass transition temperature and subsequently forced into a mold by applying a vacuum. The model consists of a generalized Maxwell model combined with an dissipative element in series. Each Maxwell element incorporates a hyperelastic element in series with a viscous element based on a hyperbolical law. While the generalized Maxwell model considers the relaxation due to molecular alignment, the additional viscous element is a modification based on the approach of Bergström and thus considers molecular chain reptation. The model is designed with the aim to converge to the generalized linear Maxwell model in the limit of small deformation. Furthermore, the viscous modeling is temperature activated and follows the Williams–Landel–Ferry approach in the limit of linear viscoelasticity. To simulate rheological standard experiments, a physical‐network‐based implementation into Simscape is presented. To validate the performance of the model in thermoforming, it is implemented into Fortran programming language for finite element simulation with Abaqus/Explicit. It can be shown that the simulation is able to predict the thickness in high correlation with experimental results.
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Ryndzionek, Roland, Michal Michna, Filip Kutt, Grzegorz Kostro, and Krzysztof Blecharz. "Design advantages and analysis of a novel five-phase doubly-fed induction generator." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, May 23, 2023. http://dx.doi.org/10.1108/compel-09-2022-0333.

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Purpose The purpose of this paper is to provide an analysis of the performance of a new five-phase doubly fed induction generator (DFIG). Design/methodology/approach This paper presents the results of a research work related to five-phase DFIG framing, including the development of an analytical model, FEM analysis as well as the results of laboratory tests of the prototype. The proposed behavioral level analytical model is based on the winding function approach. The developed DFIG model was used at the design stage to simulate the generator’s no-load and load state. Then, the results of the FEM analysis were shown and compared with the results of laboratory tests of selected DFIG operating states. Findings The paper provides the results of analytical and FEM simulation and measurement tests of the new five-phase dual-feed induction generator. The use of the MATLAB Simscape modeling language allows for easy and quick implementation of the model. Design assumptions and analytical model-based analysis have been verified using FEM analysis and measurements performed on the prototype. The results of the presented research validate the design process as well as show the five-phase winding design advantage over the three-phase solution regarding the control winding power quality. Research limitations/implications The main disadvantage of the winding function approach-based model development is the simplification regarding omitting the tangential airgap flux density component. However, this fault only applies to large airgap machines and is insignificant in induction machines. The results of the DFIG analyses were limited to the basic operating states of the generator, i.e. the no-load state, the inductive and resistive load. Practical implications The novel DFIG with five phase rotor control winding can operate as a regular three-phase machine in an electric power generation system and allows for improved control winding power quality of the proposed electrical energy generation system. This increase in power quality is due to the rotor control windings inverter-based PWM supply voltage, which operates with a wider per-phase supply voltage range than a three-phase system. This phenomenon was quantified using control winding current harmonic analysis. Originality/value The paper provides the results of analytical and FEM simulation and measurement tests of the new five-phase dual-feed induction generator.
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Conference papers on the topic "SIMSCAPE Simulation Language"

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Hummel, Patrick, Joachim Grimstad, Yuchen Xia, and Andrey Morozov. "Generation of MATLAB Simscape Models Using Large Language Models for Training Reliability Evaluation Methods." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-144344.

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Abstract The approach presented in this paper makes use of the natural language processing capabilities of large language models in order to generate MATLAB Simscape models based on specification texts. This process is based on a well-defined state machine and begins with the creation of abstract system models that may be iterated on using natural language. The abstract models are then converted to more detailed models by adding parameters and blocks required for simulation. Fault tolerance may optionally be improved by automatically applying design patterns that increase redundancy using voter and comparator blocks, among others. The abstract models are then converted into MATLAB Simscape models using traditional algorithms. The generated models can be used to train artificial intelligence systems designed for reliability evaluation. A selection of publicly available large language models is systematically evaluated based on capability regarding this task. A software prototype demonstrates the feasibility of using generative artificial intelligence to assist with the modeling of systems in MATLAB Simscape as a proof-of-concept. Current limitations and future research potential is discussed.
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Cao, Yue, Yusheng Liu, and Christiaan J. J. Paredis. "Integration of System-Level Design and Analysis Models of Mechatronic System Behavior Based on SysML and Simscape." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28213.

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Model Based Systems Engineering (MBSE) provides a new method for the design of mechatronic systems with increasing complexity. However, different from other complex systems, the behavior of mechatronic systems is characterized best in terms of continuous dynamics and therefore it is not easy for the designer to evaluate it based on static design models. In this study, a method for integrating system-level design and analysis models of mechatronic system behavior is presented. A set of stereotypes is defined based on the Simscape modeling language to support explicit modeling of continuous dynamics in SysML. Simulation models are then introduced into SysML to support analyzing the system dynamics behavior with the help of simulation in Simscape. Finally, the system dynamics model and simulation model in SysML are integrated with the analysis model in Simscape through a bidirectional model transformation based on a triple graph grammar (TGG). The model transformation facilitates automatic model consistency and traceability. Also, the system dynamics behavior can be simulated automatically for verification and validation. The proposed method is implemented and illustrated with a simple example.
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Liu, Yongwen, and Yunsheng Liu. "Design of Dynamic Tracking Filter for Model Based Diagnosis of Gas Turbine Engine." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56481.

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There exist many approaches for gas turbine engine condition monitoring and fault diagnosis. Among them, gas path analysis depends on the relations between deviations of performance parameters and deviations of measurements, such as pressure, temperature, at some positions in the flow path. In the first author’s previous study, a dynamic tracking filter is combined with a nonlinear gas turbine model to form a fault diagnosis system. The dynamic tracking filter is composed with multiple negative feedback control loops in which the residuals between model outputs and measurements are driven to zero by adjusting the performance parameters. In the present study, an interaction analysis technique, named the Relative Gain Analysis (RGA), is introduced to design more convincing and formal tracking filter for a heavy-duty gas turbine diagnostic problem. The basic concept of the RGA method is introduced in this paper with a simple blending example. Then a gas turbine model built using the Simscape language and environment from the MathWorks Co. is presented. The effects of secondary air system on the performance of compressor and turbine are considered in this gas turbine model. The linear influence coefficient matrix for four performance parameters and four measurement parameters is obtained from the steady state simulation with proper disturbance of performance parameters. Then the relative gain matrix (RGM) is obtained from matrix operation. To evaluate the pairing rule proposed in the RGA method, four tracking loops are built up to form a tracking filter for the four performance parameters selected. Deviations of performance parameters are implanted into the gas turbine model by adjusting the scaling factors of performance maps; and then simulation results are taken as measurements needed for the tracking filter to run. Tracking results of performance parameters in different cases are given to show the tracking capability for isolated performance deviations and concurrent performance deviations.
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Hartley, Claire, O. Reilly, and A. Wade. "72 Simscope an investigation into the use of simulation based education in speech and language therapy." In Abstracts of the Association for Simulation Practice in Healthcare (ASPiH) Annual Conference. 15th to 17th November 2016, Bristol, UK. The Association for Simulated Practice in Healthcare, 2016. http://dx.doi.org/10.1136/bmjstel-2016-000158.123.

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