Motor Control Development

MathWorks Consulting Servicesleverages industry background and technical expertise gained from working with hundreds of companies to help you develop and test motor control algorithms for your application.

Designing and testing new motor control algorithms is expensive due to dynamometer time

MathWorks Consultants work with you to establish a Model-Based Design motor control development process. We help you quickly determine the appropriate model structure, and show you how best to use experimental data to estimate the model parameters or create data-driven surface fitted models using design of experiments for system performance studies when a detailed switching model is undesired or unneeded.

部署嵌入式控制算法是很困难的due to fast control loop rates and complexity of interfaces

Using industry background in motor simulation and embedded motor controller algorithm development, plus deep knowledge of MATLAB and Simulink for Model-Based Design, MathWorks Consulting Services works with you to establish efficient techniques to implement control algorithms, develop system-level simulations, and deployment of Programmable Logic Controller (PLC) or embedded code to your production environment. MathWorks Consultants provide guidance on different embedded peripheral interface techniques including resolvers or quadrature encoders for speed and angle measurement, inverter pulse-width modulation voltage control, and fast current sampling for current regulation and dead-time distortion correction.

Meeting certification and safety standards

MathWorks Consultants have worked with numerous companies to implement algorithms and development processes that comply with certification standards, such as DO-178B, ISO 26262, and IEC 61508. We can help establish or fine-tune your development processes around certification standards, ensuring that you achieve the best possible value from MATLAB and Simulink and significant reduction in development effort.

MathWorks Consultants help you to:

• Achieve the desired level of accuracy of motor simulation and control models faster
• Reduce dynamometer time
• Apply Model-Based Design to motor controller development process reducing effort and time-to-market
• Build in-house competency through knowledge transfer