Open Access
REAL-TIME DIGITAL TWIN FOR STEWART PLATFORM CONTROL AND TRAJECTORY SYNTHESIS
4
Lab for Intelligent Control and Digital Systems Institute of Advanced Studies in Computer Science, Edinburgh, UK
4
Department of Robotics and Intelligent Systems National Institute of Advanced Technologies, Seoul, South Korea
Abstract
This article presents the design, implementation, and validation of a real-time digital twin for a Stewart platform, integrated with advanced trajectory computation capabilities. Stewart platforms, known for their high precision and multi-degree-of-freedom motion, are widely used in applications such as flight simulators, medical devices, and manufacturing systems. The integration of a digital twin allows for real-time monitoring, predictive analysis, and enhanced control, thereby improving the system's operational efficiency and resilience. This work details the architectural framework of the digital twin, the methods for real-time data synchronization, the algorithms for dynamic trajectory generation, and the validation of the virtual model against the physical Stewart platform. The proposed system demonstrates significant potential for improving the control, diagnostics, and overall performance of complex robotic manipulators through a comprehensive virtual representation.
Keywords
Digital Twin,
Stewart Platform,
Real-Time Control
References
Bhattacharjya, A., Zhong, X., Wang, J., & Li, X. (2020). CoAP—application layer connection-less lightweight protocol for the internet of things (IoT) and CoAP-IPSEC security with DTLS supporting CoAP. Digital Twin Technologies and Smart Cities. Internet of Things, 151-175.
Bingul, Z., & Karahan, O. (2012). Dynamic modeling and simulation of Stewart platform. Intech Open.
Camacho, F. D., Medrano, A. Q., & Carvajal, L. E. (2020). Validation through a digital twin of a Stewart platform with irregular geometry with 6 DOF for simulation of a transport vehicle.
Dasgupta, B., & Mruthyunjaya, T. (2000). The Stewart platform manipulator: a review. Mechanism and Machine Theory, 35(1), 15-40.
Eftekhari, M., & Karimpour, H. (2018). Emulation of pilot control behavior across a Stewart platform simulator. Robotica, 36(4), 588-606.
Eirinakis, P., Lounis, S., Plitsos, S., Arampatzis, G., Kalaboukas, K., Kenda, K., Lu, J., Rožanec, J. M., & Stojanovic, N. (2022). Cognitive digital twins for resilience in production: a conceptual framework. Information, 13(1), 33.
Eunike, A., Wang, K.-J., Chiu, J., & Hsu, Y. (2022). Real-time resilient scheduling by digital twin technology in a flow-shop manufacturing system. Procedia CIRP, 107, 668-674.
Girletti, L., Groshev, M., Guimarães, C., Bernardos, C. J., & de la Oliva, A. (2020). An intelligent edge-based digital twin for robotics.
Human, C., Basson, A. H., & Kruger, K. (2021). Digital twin data pipeline using MQTT in sladta.
Khan, M. T. (2022). Challenges in modelling applications for safe and resilient digital twins.
Leng, J., Zhu, X., Huang, Z., Xu, K., Liu, Z., Liu, Q., & Chen, X. (2023). ManuChain II: blockchained smart contract system as the digital twin of decentralized autonomous manufacturing toward resilience in industry 5.0. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(8), 4715-4728.
Van Der Aalst, W. M. P., Hinz, O., & Weinhardt, C. (2021). Resilient digital twins: organizations need to prepare for the unexpected. In Business & Information Systems Engineering (Vol. 63, pp. 615-619). Sacramento, CA: Velasco.
Papacharalampopoulos, A., Michail, C. K., & Stavropoulos, P. (2021). Manufacturing resilience and agility through processes digital twin: design and testing applied in the LPBF case. Procedia CIRP, 103(3), 164-169.
Singh, M., Fuenmayor, E., Hinchy, E., Qiao, Y., Murray, N., & Devine, D. (2021). Digital twin: origin to future. Applied System Innovation, 4(2), 36.
Mirelez-Delgado, F. D., Díaz-Paredes, D. P., & Gallardo-Carreó, M. A. (2020). Stewart-gough platform: design and construction with a digital PID controller implementation. In Automation and Control. London, UK: IntechOpen.
Similar Articles
- Dr. Markus Vogel, Large Language Model–Driven Digital Twins for Lean-Aware Manufacturing Execution System Optimization in Industry 4.0 Environments , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Rohan S. Whitaker, Predictive and Intelligent HVAC Systems: Integrative Frameworks for Performance, Maintenance, and Energy Optimization , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Dr. Mateo Alvarez, SaaS-Driven Digital Transformation and Customer Retention in Hospitality Ecosystems: A Multitheoretical and Socio-Technical Reinterpretation of Service Value Creation , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Dr. Leila Mansouri, Cloud Computing AsInfrastructural ESG Capital: Strategic Implications For Corporate Sustainability , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Ahmed R. Mostafa, Prof. Mahmoud A. Taha, AFFORDABLE VISION-BASED SYSTEMS FOR REAL-TIME CHESSBOARD DIGITIZATION , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 01 (2025): Volume 02 Issue 01
- Alexander J. Morrison, Hyperautomation as an Institutional Catalyst: Integrating Generative Artificial Intelligence and Process Mining for the Transformation of Financial Workflows , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Tang Shu Qi, Autonomous Resilience: Integrating Generative AI-Driven Threat Detection with Adaptive Query Optimization in Distributed Ecosystems , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Elena Marovic, Hyperautomation-Driven Financial Workflow Transformation: Integrating Generative Artificial Intelligence, Process Mining, and Enterprise Digital Architectures , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Oliver P. Harrington, Reconceptualizing Enterprise Application Frameworks: ASP.NET Core and the Structural Foundations of Cross-Platform Development , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- John Doe, Transforming Supply Chain Management Through Artificial Intelligence: A Holistic Theoretical Analysis , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 09 (2025): Volume 02 Issue 09
1-10 of 26
Next
You may also start an advanced similarity search for this article.