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Specific methods of model-based development (MBD) with a focus on high-speed circuit simulators
Products that Significantly Streamline Control System Development and the Use of Deep Learning Models
As control systems become more complex, including automated driving and electrification of automobiles, there is a need to improve efficiency through model-based development.
This session will explain RCPs that can implement periodic high-speed feedback control and high-performance systems that can also be used in the power electronics domain.
Approaches to the realization of soft sensors using AI (deep learning models) in motor control will also be presented.
High Frequency Matocon in Cybertrucks
Using the high-frequency matrix converter in the Tesla Cybertruck as an example, this presentation introduces how to build a control design environment in a model-based development (MBD) environment.
A high-speed simulation environment will be built to study the simultaneous execution of frequency modulation and PWM control in an AC-DC conversion circuit.
The effectiveness of utilizing MBD for high-frequency and complex switching schemes will be discussed.
New High-Response Torque Control Methods and Performance Evaluation of Synchronous Motors
Current vector control is a common method of high response torque control for AC motors, including induction motors and synchronous motors, and direct torque control (DTC) is also known.
This paper introduces the torque differential value manipulation type torque feedback control method we have developed and presents the features of this method and its similarities and differences with the above two methods with experimental results, assuming its application to synchronous motors.
The application of the method to a synchronous reluctance motor and the MATLAB simulation technique are described for the purpose of evaluating the robustness of the method to magnetic saturation characteristics.
Practice of Power Electronics Model-Based Development, from Noise Analysis to Data Center
Demand for power electronics is steadily increasing, driven by the recent electrification and data center expansion.
However, in the midst of global development competition, it has become necessary to review the development methodology itself, as proposals must be developed in a short period of time and must take the entire system into consideration.
As examples of model-based development for power electronics to address these issues, we will introduce a case study of high-speed noise simulation, model-based implementation of power circuit software, and application to higher-level system simulation combining power circuits.