穂高電子 Company Overview

We will be showcasing solutions for automotive electronics. In addition to model-based development (MBD), simulation, and measurement/testing environments based on the power electronics solutions we have cultivated over many years, we will introduce innovative items essential for next-generation automotive electronics. This time, we have prepared a "3D motion capture" experience for you. Please be sure to try it out.

In this seminar, we will delve into specific application methods of Model-Based Design (MBD) centered around MATLAB and the high-speed circuit simulator Scideam, along with practical case studies in projects. We will also provide a detailed explanation of the technical advantages of introducing Hardware-in-the-Loop Simulation (HILS) and Rapid Control Prototyping (RCP) systems. For the keynote speeches, we have invited Professor Katsushi Hasegawa from Chubu University and Associate Professor Yu Yonezawa from Nagoya University to discuss the contributions of MBD to energy efficiency, vibration suppression, and high precision in industrial machinery from a professional perspective. <Keynote Speeches> [New High-Response Torque Control Method for Synchronous Motors and Performance Evaluation Using MATLAB] Professor Katsushi Hasegawa, Department of Aerospace Engineering, Chubu University [Practical Model-Based Development for Power Electronics, from Noise Analysis to Data Centers] Associate Professor Yu Yonezawa, Institute of Future Materials and Systems, Nagoya University We sincerely look forward to your entries!

In this seminar, we will introduce a contract development solution for soft sensors using deep learning. We can provide a consistent response from high-precision data acquisition through actual motor measurements to the construction of deep learning models, as well as the verification and consulting of trained models. We will present effective solutions for nonlinear characteristics and real-time estimation, which have been challenging with traditional development methods. We will explain the implementation flow for technical developers and business leaders who are exploring next-generation motor control utilizing AI technology.