MATLAB/Simulink

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  1. [JFT147] Creating a Lookup Table Using Parametric Analysis

    This document explains how to run parametric analysis in JMAG-Designer and register it as a lookup table for MATLAB.

    • [JFT133] System Loss Evaluations in System-Level Simulations

      This document describes the method to output an efficiency map / loss map obtained with JMAG and using a circuit simulation to comprehend drive cycle system loss.

    • Case Study of Developing an IPM Motor Drive System with Model-Based Development (MBD) – Using JMAG-RT and HILS –

      Daisuke Mitsuoka, Shimadzu Corporation

    • Fuel Consumption Simulations for Vehicles Equipped with HUB Bearings with Motor Generator (eHUB)

      Mitsuo Kawamura, NTN Corporation

    • Analysis of Multi-Degree-of-Freedom Spherical Actuators in JMAG

      Hirotsugu Fusayasu, Panasonic Corporation

    • [JFT080] Direct Coupling between MATLAB/Simulink and JMAG

      In this document, direct coupling between MATLAB/Simulink and JMAG is presented.

    • JMAG-RT Case Studies Using 3D Analysis

      Natsumi Tamura, Mitsuba Corporation

    • Low Oscillation Actuator for Force-controlled Medical Robot Arm

      Tetsuharu Fukushima, Sony Imaging Products & Solutions Inc.

    • Electromagnetic Force Analysis of Permanent Magnet Synchronous Motor Driven by PWM Inverter

      Katsuhiro Hoshino, Hitachi Automotive Systems, Ltd.

    • [JFT038] Automation of JMAG using MATLAB

      In this document, a script is introduced that automatically executes a MATLAB script file from MATLAB, displays the results in MATLAB after launching JMAG-Designer, and then close…

      • [JFT059] How to Account for Harmonic Current (JMAG-RT)

        This document explains how to use harmonic current waveforms in magnetic field analyses when obtained from running circuit simulation using plant models (JMAG-RT models).

      • [L-MB-33]Supporting Motor Drive Development with a JMAG-MATLAB/Simulink Coupling

        Together with Mathworks, the company that develops MATLAB/Simulink (hereafter referred to as "Simulink"), JMAG strongly supports model-based development (hereafter referred to as …

      • [L-MB-32] Simulating Responsiveness of Electric Machinery During Control with High Accuracy Using a Direct Coupling Analysis

        For machines requiring high-speed responsiveness for controllers such as solenoid valves and injectors, level of accuracy required in simulation have increased following the advan…

      • [L-MB-28] The Incorporation of JMAG into Model Based Design

        The JMAG-provided plant model (JMAG-RT) simulates the characteristics of an actual machine with high-fidelity information, acquired by means of FEA, and realizes a highly reliable…

      • [L-MU-93] JMAG/Adams/Simulink Coupled Vehicle Drive Simulation

        Generally, it is said that drive motors used in electric cars have less vibration than engines, however, vibration caused by torque ripple may be transmitted to the entire vehicle…

      • [L-MB-55] High Fidelity Behavior Models Generation for Control/Circuit Simulation using JMAG-RT

        The electrification in the automotive industries produces many new components with the complicated circuit network. For example, the three phase motors have been commonly used in …

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