#Motor control circuit design software manual#
#Motor control circuit design software full#
#Motor control circuit design software software#

At the core of the system is the ARM Cortex В®-M4 mixed-signal control processor from Analog Devices, the ADSP-CM408.

#Motor control circuit design software full#

This system represents a fully functional PMSM main input motor drive, with power factor correction, full control communication signal isolation, and optical encoder feedback. The experimental setup used in this article is based on an ac fed closed motor control system, as depicted in Figure 1. All in all, the MBD approach allows a designer to expand from more classical design schemes and move directly from model creation to simulation, generation, HIL, and testing in a controlled fashion that allows changes in system settings without a complete redesign of the system.

#Motor control circuit design software manual#

To optimize the overall code generation process, automatic code generation can be added to reduce any manual implementation steps and to help further reduce the overall time to market. Simulation enables specification discrepancies and modeling errors to be found immediately, rather than later in the design cycle.

#Motor control circuit design software software#

These models, used with simulation tools, can lead to rapid prototyping, software testing, and hardware-in-the-loop (HIL) simulation. Rather than using complex structures and extensive software codes, designers can use MBD to define models with advanced functional characteristics using continuous time and discrete time building blocks. MBD is a mathematical and visual method of addressing problems associated with designing complex embedded control systems. MBD has been a discussion topic for decades, but has only in recent years evolved into a complete design flow-from model creation to complete implementation. Once the MBD platform is tested using a known algorithm and system, new algorithms can be developed and safely tested on the simulation platform at the extreme limits of system operation. The key to building a successful MBD platform is partitioning the system model and embedded software code. These tools enable a model-based design process where control algorithms can be designed and fully tested on a simulation platform before the final hardware test. Meanwhile, embedded coding tools generate C code from control system models to enable direct deployment of control algorithms on embedded control platforms.

The latest simulation tools from MathWorks can model complete embedded control systems, including the electrical circuit and mechanical system domains. With the MBD approach, electrical, mechanical, and system-level models are used to evaluate design concepts before building and testing physical hardware. System and circuit modeling has long been an important aspect of motor control system design. It follows with examples of basic permanent magnet synchronous motor (PMSM) control algorithms initially deployed and the ease of extending the functionality to include multiaxis position control for automation systems. This article describes the detailed steps in building a model-based design (MBD) platform around an ARM В®-based embedded motor control processor. Model Based Design Streamlines Embedded Motor Control System Development