ネオリウム・テクノロジー List of Products and Services

The benefits of introducing machine learning into the development process are numerous. By optimizing the design and development processes, efficiency is improved, and defects can be prevented through enhanced predictive accuracy. Furthermore, it reduces the number of prototypes, cutting costs, and allows for process adaptability through real-time feedback. It also achieves a reduction in defective products, strengthens quality control, improves production efficiency through automation, and accelerates simulations. Additionally, by collaborating with digital twins, it enables the optimization of the entire manufacturing process.

• Other Smart Grid
• Analysis and prediction system
• Big Data

In recent years, starting with household electrical appliances that are close to everyone, "embedded systems" have become a core technology supporting today's society in various fields such as transportation, healthcare, and industrial equipment. Furthermore, with the large-scale expansion of embedded systems over the past few years, the software size has increased to more than 5 to 10 times that of before, making it very complex. One of the methods to address this situation is model-based development. Model-based development is one of the processes for developing embedded systems in various fields. ● Expression and definition of specifications through models ● Detailed design and validation through model simulation ● Implementation through automatic code generation from models ● Reuse of models in testing and validation Our company offers services to support our customers' needs regarding model-based development. For customers facing the following issues... ● Lack of experience in developing the target model ● Difficulty in creating models due to a shortage of personnel ● Wanting to consult about the validity of analysis results ● Seeking support for the model-based development process Additionally, we are collaborating with NEAT Co., Ltd. to strengthen our support from implementation to field measurement.

• others

◆◇◆ Joint exhibition decided at the "Automotive Technology Exhibition 2015"! (May 20 - May 22) ◆◇◆ 'Dymola' is a physical modeling tool that supports the "Modelica language," which can describe all physical phenomena based on equations. Models can be created simply by combining component icons from the library. You can model and simulate as if you were creating a model on your desk. 【Added optional libraries】 ■ Engine Dynamics Library ■ Liquid Cooling Library ■ Hydro Power Library ■ Electric Power Library ■ Thermal Power Library ■ Heat Exchanger Library ■ Vapor Cycle Library ■ Fuel Cell Library ■ Flight Dynamics Library *For more details, please download the catalog or contact us.

• Air conditioning

The alternating current motor, which has been established as a mature technology in industrial applications, is once again becoming a core technology in the automotive industry, which is transitioning from chemical fuels in recent years, with a focus on technological development. In terms of balancing environmental concerns and comfort, as well as the high potential and low cost of motors, motor design is experiencing significant technological innovation centered around advanced control. Neorium Technology provides the modeling and control simulation technology necessary for motor technology development, supporting tasks related to the development and verification of applications for alternating current motors. In "Modeling and Vector Control of Permanent Magnet Synchronous Motors (PMSM) and Induction Motors (IM)," we explain our motor control technology, focusing on the mainstream permanent magnet synchronous motors (PMSM motors) and induction motors (IM motors) used in hybrid or electric vehicles. For more details, please contact us or download the catalog.

• others

The document "Optimal Design of Composite Material Shells Using ANSYS and PSO" explains optimization methods using FEM and discrete PSO, as well as comparisons between analysis examples and discrete PSO and GA. In the design of composite material structures, there are challenges such as strong anisotropy in strength and stiffness, making numerical analysis like FEM essential. Additionally, design variables include not only the shape and dimensions of the product but also material specifications, requiring simultaneous progress in structural and material design. Moreover, material parameters, which are design variables, are often discrete values, making numerical handling difficult. In the typical design procedure for composite material structures, structural analysis is repeatedly performed using FEM to evaluate the stiffness and buckling strength of the structure while determining the laminate configuration, during which some optimization method is applied. In this analysis case, when determining the laminate configuration of the composite material structure using FEM analysis, a discrete particle swarm optimization algorithm that can handle laminate orientation angles as discrete variables is applied as the optimization method. The results are then compared with those obtained using a genetic algorithm, aiming to evaluate the advantages of the proposed method. For more details, please contact us or download the catalog.

• others

This model is based on the formulation that incorporates the torque acting on the input shafts of each pulley using the winding diameters of each pulley derived from the geometric constraint equations of the belt, integrated into the equations of motion in the direction of rotation. In the formulation, the dynamics in the sliding direction utilize the relationship proposed by Dr. Esfandiar Shafai, taking into account the coefficient of friction between the pulley and the belt. ■ Modeling target: V-belt CVT mechanism (model for SILS) ■ Development environment: MATLAB/Simulink (R14SP3) ■ Overview of the V-belt CVT mechanism ● For more details, please download the catalog or contact us.

• others

Today, motors have established technology as a key technology in various fields and are widely used. However, in recent years, due to environmental issues and the demand for high efficiency (economic efficiency), the development of motor technology has been actively pursued again, particularly in the automotive industry. Dymola provides the necessary component models for model-based motor control development, allowing for the quick and easy creation of motor models without taking much time. As a result, it is possible to significantly reduce the man-hours required for motor control design, development, and verification. This document introduces a case of disturbance suppression using cascade control with a DC motor model, as well as methods for vector control and sensorless control of AC motors (PMSM motors and IM motors). It also presents an introduction to Dymola's motor models. For more details, please contact us or refer to the catalog.

• others

AC motors are the mainstay of variable speed drives, and advancements in technology have been made in all aspects, including controllability, reliability, and efficiency. Although AC motors have been established as mature technology in industrial applications, the automotive industry, which is undergoing a transition from chemical fuels, is once again focusing on motor technology as a core technology and is concentrating on technological development. In terms of balancing environmental concerns and comfort, as well as the high potential and low cost of motors, significant technological innovations in motor design are being driven by advanced control. Neorium Technology Co., Ltd. provides the modeling and control simulation technologies necessary for motor technology development and supports tasks related to the development and verification of AC motor applications. This article introduces Neorium Technology Co., Ltd.'s motor control technologies, focusing on the mainstream permanent magnet synchronous motors (PMSM) and induction motors (IM) used in hybrid or electric vehicles. For more details, please contact us or refer to our catalog.

• others

●Advanced Vibration Suppression of Mechanical Systems Using Robust Control and Disturbance Observer ⇒ As a representative example of vibration control, this study focuses on a rotating drum drive system composed of three inertial bodies: the motor-rotor section, the reducer output section, and the drum section. It introduces a case where the residual vibrations caused by the drum's rotational speed are controlled using H ∞ control, which is one of the robust control methods, along with a disturbance observer.

• others

Neolium Technology is based on extensive modeling and system integration experience using know-how from various engineering fields and various simulation tools. We understand our customers' design methods and problems and take responsibility for solving those issues. We present examples of the application of PSO (Particle Swarm Optimization) in control design. Applications of PSO in control design (presentation materials from the Aerospace Industry Technology Exhibition 2008): 1) Parameter tuning for PID control 2) Design of robust PID control 3) Suspension design considering ride comfort and handling stability For more details, please download the catalog or contact us.

• others

By understanding the modeling language Modelica(R) and adopting it for modeling, you can significantly reduce the man-hours and costs associated with plant modeling. In the seminar, we will clearly explain the basics of Modelica(R), from an introduction to what the language is to the methods of description for actual modeling. Modelica(R) is a modeling language supported by many plant modeling tools, including the physical modeling tool Dymola. By understanding Modelica(R), you will be able to model motors, engines, vehicles, and more from equations more easily.

• Air conditioning
• others

Neorium Technology offers contract development and consulting for design tools such as MATLAB/Simulink, LabVIEW, and DYMOLA, as well as various simulation tools like DYNA4, enDYNA, and veDYNA, along with HIL system integration. Based on our expertise in various engineering fields such as mechatronics, control design, system design, and data analysis, along with extensive modeling and system integration experience using various simulation tools like MATLAB/Simulink, we understand our customers' design methods and issues and take responsibility for solving those problems. With a wealth of contract achievements in drive control consulting, motor model creation, and customization of Simulink vehicle models, we provide consulting services that will satisfy our clients. For more details, please contact us or download our catalog.

• others

● You can intuitively model the desired simulation model in a short period of time. ● No need to assemble complicated equations of motion. ● Full support for the Modelica language. You can write equations in Modelica and simulate them directly in Dymola. ● Customizable according to user needs. ● A free trial version is available. ● Free trial seminars are currently being held.

• others

We have established a contract development and consulting system for designers using MATLAB(R)/Simulink(R) (The Mathworks, Inc.) in their development environment. We provide comprehensive support from model creation to code generation in model-based development, of course. We also accept requests for the creation of various development tools for MATLAB(R)/Simulink(R).

• others

Neorium Technology provides a consistent range of professional services from requirements definition to code implementation, based on extensive contract development experience in the automotive, machinery, and precision equipment sectors. These services include control design education and training, contract development and consulting using MATLAB/Simulink and LabVIEW, HIL system integration, and the creation and maintenance of development tools.

• others

You will learn the basics of feedback control (classical control, modern control), system stability, PID control, poles, and state feedback by solving example problems. The fundamentals of feedback control will be explained in an easy-to-understand manner.

• others

You will learn the basic concepts of system identification, preprocessing of identification data, identification of transfer function models using nonlinear least squares method, identification of ARX models, identification of state-space models using subspace methods, and identification of nonlinear models using neural networks, while solving example problems.

• others

You will learn the basics of classical control, PID control, parameter tuning of PID control based on internal model control, two-degree-of-freedom control, and robust control by solving practical examples (such as motor models and suspension models).

• others

You will learn the fundamental concepts of robust control, uncertainties in the control target model, mixed sensitivity problems, and disturbance rejection issues by solving practical examples (such as motor models and suspension models).

• others

You will learn the fundamentals of modern control, regulator problems and servo problems, pole placement and state feedback control, observer design, optimal state feedback control, and integral state feedback control by solving practical examples (such as motor models and suspension models).

• others

You will learn the basic concepts of discrete systems, Z-transformation and its significance, transfer function models, state-space models, system stability, PID control, pole placement and state feedback control, optimal state feedback control, and integral-type optimal state feedback control, while solving example problems.

• others

You will learn the basics of system optimization (gradient descent method, Newton's method, Nelder-Mead method, genetic algorithms, PSO, DE), searching for the minimum of nonlinear functions, and identifying control models by solving example problems.

• others

You will learn about the basics of neural networks, methods for training neural networks, nonlinear function curve fitting, nonlinear clustering, nonlinear model identification and model predictive control, nonlinear model following control, and associative memory systems, while solving example problems.

• others