Mathematical modelling provides automated export

Mathematical modelling environment provides automated export to Simulink and lets engineers save time and reduce the risk of error in the model-based design of dynamic systems.

Adept Scientific has released Blockbuilder for Simulink, a mathematical modelling environment that provides automated export to Simulink.

Using Blockbuilder lets engineers save time and reduce the risk of error in the model-based design of dynamic systems.

"Rapid physical modelling is a key part of the design of dynamic systems", said Jim Cooper, CEO of Maplesoft, producer of Blockbuilder.

"Many engineers have asked us for the ability to enhance and extend their Simulink models with Maple, the powerful mathematical modelling system".

"Blockbuilder answers that need, particularly for control applications, by letting users mathematically develop models and then implement them directly in Simulink as a subsystem block".

Featuring the full power of Maple, Blockbuilder lets engineers develop ideas from initial concepts to high-fidelity physical models and automatically generate Simulink S-function blocks.

Blockbuilder also lets users fully encapsulate their analysis, manipulations, transformation, code generation, verification and documentation in a flexible mathematical environment.

The interactive technical document environment allows users to facilitate the development of systems using a first principles approach that cannot be easily achieved in other environments.

The free-form and easy-to-use working environment provides components such as text, plots and images that incorporate the maths into a fully documented, readable and interactive application.

This lets users capture the thinking behind their analysis and easily share and re-use their knowledge.

Using the S-function generation capability, engineers can export dynamic system models and analytical algorithms from the Blockbuilder model development environment to Simulink as a fully encapsulated block that can be readily incorporated into a Simulink model diagram.

This is useful for real-time execution in hardware-in-the-loop applications.

Other features of the S-function generation in Blockbuilder include: supports transfer function, differential and difference equations, state space, zero, pole and gain models; enables creation of multi-input and multi-output blocks; supports procedures for exporting nonlinear models and other algorithms; creates Matlab code S-functions for interpreted use in the Simulink environment; and creates Ansi C code S-functions for fast execution and real-time implementation through Real-Time Workshop.

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