Feedbacks on Scilab Conference 2019

Asteroidlanding - Keynote

Thierry Martin, CNES French Space Agency

Keynote of the French Space Agency CNES on the Asteroidlander MASCOT boarding the Hayabusa2 mission in collaboration with the Japanese Space Agency JAXA and the German Aerospace Center DLR

Asteroidlanding - Scilab conference 2019 Keynote de Scilab

Very Low Earth Orbits satellites modelling

David Gonzales, Elecnor Deimos Satellite Systems

Very Low Earth Orbits are orbits in altitudes lower than 450 km. The interaction between the atmosphere particles and the surfaces of the spacecraft is responsible for the aerodynamic torques and forces. Simulating several aspects of the performance of a satellite flying in VLEO is very important to make decisions about the design of the spacecraft and the mission.

Scilab and Xcos for Very Low Earth Orbits satellites modelling de Scilab

Aircraft Simulation Model and Flight Control Laws Design Using Scilab and Xcos

André Ferreira da Silva, Altran

The increasing demand in the aerospace industry for safety and performance has been requiring even more resourceful flight control laws in all market segments, since the airliners until the newest flying cars. The ​de facto​ standard for flight control laws design makes extensive use of tools supporting numerical computing and dynamic systems visual modeling, such that Scilab and XCos can nicely suit this kind of development.

Aircraft Simulation Model and Flight Control Laws Design Using Scilab and XCos de Scilab

 

X2C -a tool for model-based control development and automated code generationfor microprocessors

Peter Dirnberger, Stefan Fragner

Nowadays, the market demands compact, stable, easy maintain-and customizable embedded systems. To meet these requirements, a fast, simple and reliable implementation of control algorithms is crucial. This paper demonstrates how model-based design with the help of Scilab/Xcos and X2C, developed by LCM,simplifies and speeds up the development and implementation of control algorithms. As an example, a control scheme for a bearingless motor is presented.

X2C -a tool for model-based control development and automated code generationfor microprocessors de Scilab
 

Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm development

Christoph Baumgartner, Microchip Technology 

Rapid Prototyping becomes very popular for faster algorithm development. With a graphical representation of the algorithm and the possibility to simulate complete designs, engineers can help to reduce the time to market. A tight integration with MPLAB-X IDE allows the combination with standard C-coding to easily get mass production code. This solution was used to optimise a sensorless field oriented controlled PMSM motor driven pump efficiency. A model for closed loop simulation was developed using X2C blocks [1][2] for the FOC algorithm based on the existing application note AN1292 [3]. Enhancements to the original version were implemented and verified with simulation. The X2C Communicator was used to generate code of the new algorithm. With the online debugging capabilities and the scope functionality the algorithm was further tuned and optimized to achieve the highest possible efficiency of the pump.

Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm development de Scilab
 

A Real-Time Interface for Xcos – an illustrative demonstration using a battery management system

Sven Jacobitz, Xiaobo Liu-Henke

As part of an EU-founded research project, the Scilab based development tool LoRra (Low-Cost Rapid Control Prototyping Platform) was created. This allows the realization of the continuously model based and highly automated Rapid Control Prototyping (RCP) design process for embedded software within the Scilab / Xcos environment (cf. Figure 1). Based on the application battery management system (BMS), this paper presents a Real-Time interface for Scilab.

A Real-Time Interface for Xcos – an illustrative demonstration using a battery management system de Scilab
 

Motor Control by Microchip

C Code Generation with X2C by LCM

Download X2C at https://x2c.lcm.at/