Demonstrating its power in embedded control environment development! Introducing use cases of optimization support tools.
We would like to introduce a case study where we optimized the engine RPM feedback control gain using our "modeFRONTIER." By optimizing the control parameters within Simulink using "modeFRONTIER," we propose a method to design control characteristics at the algorithm design stage. The control target is a car engine modeled in GT-POWER. The throttle opening was controlled via PID feedback to maintain the engine speed at a specified value. 【Case Study】 ■ Software Used: modeFRONTIER, GT-POWER, MATLAB/Simulink ■ Objective: Optimize control parameters within Simulink using modeFRONTIER ■ Control Target: Car engine modeled in GT-POWER ■ Results ・Controlled the engine speed to the specified value ・Simultaneously optimized parameters in GT-POWER *For more details, please refer to the external link or feel free to contact us.
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Features of the multi-objective robust design optimization support tool "modeFRONTIER": - Equipped with advanced optimization methods, experimental design methods, and response surface approximation methods - Supports multi-objective robust design optimization and multi-objective tolerance design optimization - Includes a variety of post-processing functions such as statistical analysis, multivariate analysis, and CAP - Interface compatible with Japanese (Windows) and English environments - Standard equipped with dedicated nodes for direct access to various tools (such as CATIA V5, ANSYS Workbench, MATLAB, LabVIEW, etc.) *For more details, please refer to the external link or feel free to contact us.
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While focusing on MBD and CAE technologies and their surrounding technical areas, we specialize in building virtual products and collaborative design processes through cutting-edge digital engineering. We form partnerships with leading-edge software vendors of the era, providing a comprehensive engineering environment necessary to solve our customers' increasingly diverse and complex challenges using top-level domestic digital engineering technologies, including thermal fluid analysis, structural analysis, electromagnetic field analysis, acoustic analysis, system simulation, optimization technologies, embedded software development environments, and simulation process data management (SPDM) solutions.