Major upgrade: Simulink integrates three control system design tools



In what is being called a major upgrade, The Math Works has launched a single graphical user interface that unifies new versions of three of its control design software products—Control System Toolbox 7, Simulink Control Design 2, and Simulink Response Optimization 3.

In what the company is calling a "major upgrade," The Mathworks announced a single graphical user interface unifying new versions of three of its control design software products: Control System Toolbox 7, Simulink Control Design 2, and Simulink Response Optimization 3. Jason Ghidella, senior technical lead for controls and the Simulink platform, told Control Engineering : "We've reduced the pains of designing a control system, so people with all different levels of experience can benefit from model-based design. You [also] can study a larger set of design options. We've created an integrated environment where it's easy to try out new ideas that were too dangerous to do in the actual plant, or too difficult to do manually."

The upgrade creates a streamlined platform for control design and optimization using model-based design, enabling control engineers to tune and optimize control systems on multi-domain plant models directly in Simulink.

Across industries, the growing number and complexity of design requirements that engineers face has fueled a demand for sophisticated control design strategies, which are typically difficult to implement. Responding to this demand, The MathWorks not only expanded control design capabilities with the upgrades, but also integrated the control design products with Simulink to simplify the workflow, reducing the number of design cycles and increasing productivity.


Together, the trio of products facilitates the control design process. Control System Toolbox gives engineers the ability to analyze, design, and tune control systems systematically. Simulink Control Design enables the design and analysis of sophisticated multi-loop control systems directly in Simulink. With Simulink Response Optimization, engineers can use numerical optimization to tune the response of systems modeled in Simulink, satisfying performance requirements.


The integrated environment lets engineers make design tradeoffs and optimize the performance and robustness of the overall control system. Control engineers tune the control parameters in their Simulink model either graphically or by using automated techniques such as PID or LQG. With built-in visualization tools, engineers can graphically analyze the effects of loop interactions, closed-loop performance, and actuator bandwidth. They can also graphically specify design requirements in time and frequency domains, such as rise time and overshoot or phase and gain margins, and then apply numerical optimization techniques to simultaneously tune the entire system to meet those requirements.


Control System Toolbox 7, Simulink Control Design 2, and Simulink Response Optimization 3 are available immediately for the Microsoft Windows, UNIX, Linux, and Macintosh platforms.

No comments
The Engineers' Choice Awards highlight some of the best new control, instrumentation and automation products as chosen by...
The System Integrator Giants program lists the top 100 system integrators among companies listed in CFE Media's Global System Integrator Database.
The Engineering Leaders Under 40 program identifies and gives recognition to young engineers who...
This eGuide illustrates solutions, applications and benefits of machine vision systems.
Learn how to increase device reliability in harsh environments and decrease unplanned system downtime.
This eGuide contains a series of articles and videos that considers theoretical and practical; immediate needs and a look into the future.
Robot advances in connectivity, collaboration, and programming; Advanced process control; Industrial wireless developments; Multiplatform system integration
Sensor-to-cloud interoperability; PID and digital control efficiency; Alarm management system design; Automotive industry advances
Make Big Data and Industrial Internet of Things work for you, 2017 Engineers' Choice Finalists, Avoid control design pitfalls, Managing IIoT processes
Motion control advances and solutions can help with machine control, automated control on assembly lines, integration of robotics and automation, and machine safety.
This article collection contains several articles on the Industrial Internet of Things (IIoT) and how it is transforming manufacturing.

Find and connect with the most suitable service provider for your unique application. Start searching the Global System Integrator Database Now!

Big Data and bigger solutions; Tablet technologies; SCADA developments
SCADA at the junction, Managing risk through maintenance, Moving at the speed of data
Flexible offshore fire protection; Big Data's impact on operations; Bridging the skills gap; Identifying security risks
click me