Software-in-the-Loop System for Motor Control Algorithms

Taut, M. A.; Chindris, G.; Taut, Adrian

doi:10.1109/siitme47687.2019.8990711

Cited by 2 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since testing the control algorithm on the real prototype can be dangerous in many scenarios, it is efficient to use Model-in-the-Loop (MiL), Software-in-the-Loop (SiL), Processor-in-the-Loop (PiL) or Hardware-in-the-Loop (HiL) techniques. MiL is often used in the early phase of development to verify the design [9], and the rest of the techniques are used later in the system integration phase [10,11]. MiL is performed in the simulation environment (i.e., Matlab/Simulink) where both the controller and the plant are mathematical models.…”

Section: Introductionmentioning

confidence: 99%

Application of the MiL and HiL Simulation Techniques in Stewart Platform Control Development

Walica

Noskievič

2022

Applied Sciences

View full text Add to dashboard Cite

During the integration phase of a system development, we are often concerned as to whether the designed control algorithm could be performed on the selected controller in real-time. One of the tools to test and validate the control scheme is the Hardware-in-the-Loop (HiL) simulation technique, which is a part of a model-based design methodology. This approach requires a simulation model of a controlled system running in a real-time loop with an intended controller and a control algorithm, which are objects of interest in this method. To perform the test, the control algorithm must be deployed to the controller such as a PLC. This paper presents a use case of the HiL technique in the design of the Stewart platform control, where the controller is PLCnext from Phoenix Contact. The control algorithm was first verified in the Model-in-the-Loop simulation (MiL) and then generated as a code from the Matlab/Simulink environment and deployed to the PLCnext, which resulted in a smoother transition from the design to the integration and testing phase. The presented method is also applicable to other controllers that support code generation.

show abstract

Section: Introductionmentioning

confidence: 99%

Application of the MiL and HiL Simulation Techniques in Stewart Platform Control Development

Walica

Noskievič

2022

Applied Sciences

View full text Add to dashboard Cite

show abstract

A scoping review of In-the-loop paradigms in the energy sector focusing on software-in-the-loop

Clausen,

Jørgensen,

2024

Energy Inform

View full text Add to dashboard Cite

Software-in-the-Loop (SIL) testing is an approach used for verification and validation in the energy sector. However, there is no comprehensive overview of the application, potential, and challenges of SIL within this sector. Therefore, this paper conducts a thorough scoping review of the existing literature within the scope of SIL and related in-the-loop approaches in the energy sector. A total of 88 full-text articles from four significant databases ACM, IEEE Xplore, Scopus, and Web of Science are analyzed and categorized to map the purpose, methods, architecture, interoperability and protocols, technologies, challenges, and limitations. The results present a grand perspective of in-the-loop across several domains followed by an analysis of SIL in the energy sector. The application domains carry characteristics from complex systems, systems-of-systems, cyber-physical systems, critical systems, real-time systems, and sociotechnical systems. The energy sector and the automotive industry are amongst the most applied domains. Within energy- and electricity systems, hardware-based in-the-loop paradigms are mostly applied for testing low-level signaling, and SIL is used for control strategy testing, optimization, dispatching, and experimentation. The examined SIL architectures have distributed-, real-time, and closed-loop properties, and are constrained by specialized simulation power hardware. Future research should address how to systematically develop SIL testing environments with guiding principles to support application development for the future digitalized energy system.

show abstract

Software-in-the-Loop System for Motor Control Algorithms

Cited by 2 publications

References 8 publications

Application of the MiL and HiL Simulation Techniques in Stewart Platform Control Development

Application of the MiL and HiL Simulation Techniques in Stewart Platform Control Development

A scoping review of In-the-loop paradigms in the energy sector focusing on software-in-the-loop

Contact Info

Product

Resources

About