Hardware in the Loop Test Bench Development Suitable for New Space Concept

Caballero, Antonio Flores; Caballero, Antonio Flores

doi:10.21125/edulearn.2022.0070

Cited by 1 publication

(5 citation statements)

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“…This article presents custom MBD hardware support for MATLAB/Simulink ® . This support enhances I/O, multitasking, and optimizes DSP features for embedded controllers, eliminating the need for manual programming stages in the development process, as successfully demonstrated in [9]. This custom MBD support enables the embedded USB controller port as the data exchange interface for checking and comparing the controller behavior with the original MBD program in compliance with critical safety directives.…”

Section: Graphics-based Programmingmentioning

confidence: 97%

“…Once the graphics program developed using the MBD environment meets the required standards, it is manually converted to the target hardware for embedded systems. Detailed examples and descriptions of this methodology can be seen in [9]. This last methodology is only advantageous during the labor- Commercial MBD-supported hardware, suitable only for laboratory purposes, is used due to its cost, size, and power consumption.…”

Section: Graphics-based Programmingmentioning

confidence: 99%

“…The embedded controller provides the I/O features. The interface between MATLAB/Simulink ® and the embedded controller is a custom deterministic native high-speed USB interface [9]. The output obtained from the MBD program behavior is stored.…”

Section: Graphics-based Programmingmentioning

confidence: 99%

“…It conducts a system performance evaluation to detect any signs of the system going out of control, which could be caused by I/O issues, such as sensor wiring or actuation problems. The interface between MATLAB/Simulink ® and the embedded controller is a custom deterministic native high-speed USB interface [9]. The output obtained from the MBD program behavior is stored.…”

Section: Graphics-based Programmingmentioning

confidence: 99%

“…Intentionally, for further development, deployment, and technology transfer purposes, the generated MISRA C qualified code and safety-programmed (SIL3-/SIL 4-oriented) low-level hardware drivers remain accessible to the user. On the other hand, this HIL mockup differs from [16] and most of the HILs systems at [17] because the purpose is to use the presented COTS HIL test bench hardware for verification, simulation, and deployment purposes, as discussed in [9].…”

Section: Hardware/software Description Of the Developed Workbenchmentioning

confidence: 99%

See 4 more Smart Citations

Deployment of Model-Based-Design-Adaptive Controllers for Monitoring and Control Mechatronic Devices

Barber,

Rosa,

Flores-Caballero

et al. 2023

Applied Sciences

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The modeling and control of complex, non-linear, and time-changing mechatronic systems requires complex software development. They are carried out in the prototyping phase with engineering software development tools, generating models, and control algorithms that are not always easily exportable to control hardware. The following work offers an alternative that considers Model-Based Design using graphics-based languages, which facilitates programming tasks for modeling and controlling mechatronic devices and their transition from prototype to control hardware. Model-Based Design with high abstraction programming level capabilities provides the user with a fast coding and testing environment, suitable for laboratory prototyping and subsequent transfer to commercial embedded controllers. The proposed solution combines control hardware based on an STM32H7 microcontroller and a software development environment using graphics-based languages developed for MATLAB. The result is a solution that integrates control hardware and software in a hardware-in-the-loop paradigm. This solution provides robust and energy-saving controllers and demonstrates that an advanced control algorithm can be set up in a critical safety-compliant low-cost embedded controller via a custom model-based design. Algorithms and tools are transferred to the controller without losing the advantages gained in the prototyping phase. Finally, experimental results implementing an adaptive controller in a DC motor and in a pneumatic system are shown to validate the system.

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Section: Graphics-based Programmingmentioning

confidence: 97%

Section: Graphics-based Programmingmentioning

confidence: 99%

Section: Graphics-based Programmingmentioning

confidence: 99%

Section: Graphics-based Programmingmentioning

confidence: 99%