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科学软件网提供软件和培训服务已有19年,拥有丰富的经验,提供软件产品上千款,涵盖领域包括经管,仿真,地球地理,生物化学,工程科学,排版及网络管理等。同时还有的服务,现场培训+课程,以及本地化服务。
使用 Simulink进行电力电子控制设计
设计和实现电机、功率变流器和电池系统的数字控制
电力电子使用 MATLAB® 和 Simulink® 开发电机、功率变流器和电池系统的数字控制系统。
使用 Simulink 对调度和闭环控制算法进行仿真并生成代码,与传统手工编码和在硬件上测试相比,缩短项目时间 50%。
访问成千上万随时可用的电气建模元件和用于桌面仿真的例程。
使用附加工具箱进行控制设计、定点设计、信号处理和认证。
获得对 Speedgoat 和其他实时硬件平台的实时仿真支持。
为主流微控制器、FPGA 和 SoC 生成 ANSI C 和处理器优化的 C 和 HDL 代码。
构建和优化电机控制算法
使用 MATLAB 和 Simulink,利用电机、电力电子、传感器和负载的库构建系统模型。利用经典的线性控制设计技术,如波特图和根轨迹。您可以使用自动 PID 调优,对逆变器输出电压幅值和频率进行控制。
在 Simulink 中,您可以对电流和转速控制器在正常和故障状态下进行仿真。设计模型启动、并设计降额和保护逻辑来确保电机安全运转。
Electronics engineers rely on MATLAB® and Simulink® to develop smaller, more efficient devices that integrate audio, video, wireless communications, and other features. They use these tools to explore and validate algorithms and system-level designs in hours or days rather than weeks.
By capturing algorithmic and system models in MATLAB and Simulink products, engineers can collaborate more effectively across geographic boundaries and between Signal Processing, analog/mixed-signal, and control logic design teams. With these productivity gains, companies can deliver innovative solutions faster.
Matlab在数字信号处理中的应用
Signal processing is essential for a wide range of applications, from data science to real-time embedded systems. MATLAB® and Simulink® products make it easy to use signal processing techniques to explore and analyze time-series data, and they provide a unified workflow for the development of embedded systems and streaming applications.
With MATLAB and Simulink signal processing products, you can:
Acquire, measure, and analyze signals from many sources.
Design streaming algorithms for audio, smart sensor, instrumentation, and IoT devices.
Prototype, test, and implement DSP algorithms on PCs, embedded processors, SoCs, and FPGAs.
Signal processing is essential for a wide range of applications, from data science to real-time embedded systems. MATLAB® and Simulink® products make it easy to use signal processing techniques to explore and analyze time-series data, and they provide a unified workflow for the development of embedded systems and streaming applications.
With MATLAB and Simulink signal processing products, you can:
Acquire, measure, and analyze signals from many sources.
Design streaming algorithms for audio, smart sensor, instrumentation, and IoT devices.
Prototype, test, and implement DSP algorithms on PCs, embedded processors, SoCs, and FPGAs.
Signal Analysis for Everyone
MATLAB and signal processing products help you analyze signals from a range of data sources. You can acquire, measure, transform, filter, and visualize signals without being an expert in signal processing theory. You can apply signal processing tools to:
Preprocess and filter signals prior to analysis.
Explore and extract features for data analytics and machine learning applications.
Analyze trends and discover patterns in signals.
Visualize and measure time and frequency characteristics of signals.
Manufacturers of equipment used in manufacturing, testing, and power generation applications face complex challenges to develop embedded applications that integrate with mechanical, electrical, control, and signal processing systems. Forward-looking companies are turning to Model-Based Design to redefine the way they perform system-level design.
Model-Based Design enables industrial equipment makers to create executable specifications in the form of Simulink® models that provide clear design direction to diverse engineering groups.
Sharing models shifts the focus of the development process from design and test on hardware to design and test with models, enabling early verification across domains before investing in prototypes. Machine makers then leverage code-generation technology to reduce rework, link code to design, and allow software engineers to focus on software architecture.
科学软件网主要提供以下科学软件服务:
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